Data Science at Home

In this last episode of the series "Rust in the Cosmos" we speak about what happens in space, what projects are currently active and what happened in the past that we can learn from? What about Rust and space applications? As always, let's find out ;) Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities Intrepid AI, AeroRust, Bytenook Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org References Workshop https://github.com/AeroRust/nanosat-workshop Embassy - https://github.com/embassy-rs/embassy Software based fault redundancy, (Errata: it's not from NASA) : https://ieeexplore.ieee.org/document/1402092 Whitehouse paper for memory safe languages https://www.whitehouse.gov/wp-content/uploads/2024/02/Final-ONCD-Technical-Report.pdf

In this episode of "Rust in the Cosmos" we delve into the challenges of building embedded applications for space. Did you know that once you ship your app to space... you can't get it back? :P What role is Rust playing here? Let's find out ;) Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities AeroRust, Intrepid, Bytenook AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai References Workshop https://github.com/AeroRust/nanosat-workshop Embassy - https://github.com/embassy-rs/embassy Software based fault redundancy, (Errata: it's not from NASA) : https://ieeexplore.ieee.org/document/1402092 Whitehouse paper for memory safe languages https://www.whitehouse.gov/wp-content/uploads/2024/02/Final-ONCD-Technical-Report.pdf

In this episode of "Rust in the Cosmos" we delve into the challenge of testing software for... ehm ... space How can Rust help? Let's find out ;) Sponsors Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities AeroRust, Intrepid, Bytenook AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai References Open-source GitHub workflows/actions - https://docs.github.com/en/actions Gitlab CI - https://docs.gitlab.com/ee/ci/ Alternatives Circle ci - https://circleci.com/ Travis http://travis-ci.com Dagger.io - https://dagger.io Actionshttps://github.com/dtolnay/rust-toolchain https://github.com/taiki-e/install-action https://github.com/marketplace/actions/install-cargo-binstall Additional tools:https://github.com/nextest-rs/nextest https://github.com/cargo-bins/cargo-binstall Jon Gjengset - Towards Impeccable Rust Lechev.space: lechev.space

In this inaugural episode of "Rust in the Cosmos," we delve into the intricacies of communication in space and some of the challenges in space application development. Sponsors Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.

In this episode we delve into the dynamic realm of game development and the transformative role of artificial intelligence (AI). Join Frag, Jim and Mike as they explore the current landscape of game development processes, from initial creative ideation to the integration of AI-driven solutions. With Mike's expertise as a software executive and avid game developer, we uncover the potential of AI to revolutionize game design, streamline development cycles, and enhance player experiences. Discover insights into AI's applications in asset creation, code assistance, and even gameplay itself, as we discuss real-world implementations and cutting-edge research. From the innovative GameGPT framework to the challenges of balancing automation with human creativity, this episode offers valuable perspectives and practical advice for developers looking to harness the power of AI in their game projects. Don't miss out on this insightful exploration at the intersection of technology and entertainment! Sponsors Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. References https://mikeyoung44.itch.io/spacefreighter - Itch.io link to play the game https://discord.gg/yaXgYZ5Ymn - Discord server for the game https://aimodels.substack.com/ - Mike’s newsletter (links to website too)

In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary! Sponsors Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience 🔗 Links Mentioned in the Episode: Generative AI for time series: TimeGPT Documentation Lag-llama: GitHub (Note: The benchmark results on this one are pretty horrible) Open source LLM: Olmo Blog Post Quantization for LLM: Hugging Face Guide And finally, don't miss Konrad's Substack for more nerdy goodness! (If you're there already, be there again! 😄)

In this episode of Data Science at Home, we explore the game-changing impact of low-code solutions in robotics development. Discover how these tools bridge the coding gap, simplify integration, and enable trial-and-error development. We'll also uncover challenges with traditional coding methods using ROS. Join us for a concise yet insightful discussion on the future of robotics! Sponsors Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience

Join us in a dynamic conversation with Yori Lavi, Field CTO at SQream, as we unravel the data analytics landscape. From debunking the data lakehouse hype to SQream's GPU-based magic, discover how extreme data challenges are met with agility. Yori shares success stories, insights into SQream's petabyte-scale capabilities, and a roadmap to breaking down organizational bottlenecks in data science. Dive into the future of data analytics with SQream's commitment to innovation, leaving legacy formats behind and leading the charge in large-scale, cost-effective data projects. Tune in for a dose of GPU-powered revolution! References SQream - GPU-based Big Data Platform Patents Assigned to SQREAM TECHNOLOGIES LTD

In this episode from a month ago, join me as we unravel the controversial CEO firing at OpenAI in December 2023. I share my insights on the events, decode the intricacies, and explore what lies ahead for this influential organization. Don't miss this concise yet insightful take on the intersection of leadership and artificial intelligence innovation. Sponsor Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience

!!WARNING!! Due to some technical issues the volume is not always constant during the show. I sincerely apologise for any inconvenience Francesco In this episode, I speak with Richie Cotton, Data Evangelist at DataCamp, as he delves into the dynamic intersection of AI and education. Richie, a seasoned expert in data science and the host of the podcast, brings together a wealth of knowledge and experience to explore the evolving landscape of AI careers, the skills essential for generative AI technologies, and the symbiosis of domain expertise and technical skills in the industry. References Become a generative AI developer in this FREE code-along series. Learn to build a chatbot using the OpenAI API, the Pinecone API, and LangChain, and learn to build NLP and image applications with Hugging Face. https://www.datacamp.com/ai-code-alongs Learn to use ChatGPT and the OpenAI API in the OpenAI Fundamentals skill track. https://www.datacamp.com/tracks/openai-fundamentals Get started with deep learning using PyTorch in the Introduction to Deep Learning with PyTorch course. https://www.datacamp.com/courses/introduction-to-deep-learning-with-pytorch

Dive into the world of Data Science at Home with our latest episode, where we explore the dynamic relationship between Artificial Intelligence and the redemption of open source software. In this thought-provoking discussion, I share my insights on why now, more than ever, is the opportune moment for open source to leave an indelible mark on the field of AI. Join me as I unpack my opinions and set expectations for the near future, discussing the pivotal role open source is set to play in shaping the landscape of data science and artificial intelligence. Don't miss out—tune in to gain a deeper understanding of this revolutionary intersection! This episode is available as YouTube stream at https://www.youtube.com/live/0Enenz1HqIs?si=woyYdjJVz656BneH&t=915

In this captivating podcast episode, join renowned financial expert Chris Skinner as he delves into the fascinating realm of the future of money. From cryptocurrencies to government currencies, the metaverse to artificial intelligence (AI), Skinner explores the intricate interplay between technology and humanity. Gain valuable insights as he defines the future of money, examines the potential impact of cryptocurrencies on traditional government currencies, and addresses the advantages and disadvantages of digital currencies. Delve into the complex issues of regulation and governance in the context of emerging financial technologies, and discover Skinner's unique perspective on the metaverse and its implications for the future of money and technology. Brace yourself for an enlightening discussion on the integration of AI in the financial sector and its potential impact on humanity. Tune in to explore the cutting-edge concepts that shape our financial landscape and get a glimpse of what lies ahead. You can read about Chris at https://thefinanser.com/ Sponsors This episode is sponsored by Setapp. Setapp is a platform that combines 230+ powerful MacOS and iOS apps and tools under one $9.99 subscription. Their selection of apps is mostly helpful for people who use their Macs as an actual working tool, covering complete use cases like coding, designing, project and time management and so on. Once subscribed, you get full access to paid features of the apps, as well as to new apps that are being constantly added. So you’ll always be sure you’re not missing out on any cool apps and services that actually help you do your work more efficiently for just a fraction of the price. Get 7 days for free at https://stpp.co/dsat

In this thought-provoking episode, we sit down with the renowned AI expert, Filip Piekniewski, Phd, who fearlessly challenges the prevailing narratives surrounding artificial general intelligence (AGI) and the singularity. With a no-nonsense approach and a deep understanding of the field, Filip dismantles the hype and exposes some of the misconceptions about AI, LLMs and AGI. Join us as we delve into the real-world implications of AI, separating fact from fiction, and gaining a firm grasp on the tangible possibilities of AI advancement. If you're seeking a refreshingly pragmatic perspective on the future of AI, this episode is an absolute must-listen. Filip Piekniewski Bio Filip Piekniewski is a distinguished computer vision researcher and engineer, specializing in visual object tracking and perception. He approaches machine learning with a pragmatic mindset, recognizing its current limitations. Filip earned his Ph.D. from Warsaw University, where he explored neuroscience and later joined Brain Corporation in San Diego. His extensive study of neuroscience inspired him to develop innovative, bio-inspired machine learning architectures. Filip's unique blend of scientific curiosity and software engineering expertise allows him to quickly prototype and implement new ideas. He is known for his realistic perspective on AI, debunking AGI hype and focusing on tangible advancements. Sponsors Finally, a better way to do B2B research. NewtonX The World’s Leading B2B Market Research Company Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. References https://twitter.com/filippie509 http://blog.piekniewski.info/ (On limits of deep learning and where to go next with AI.)

Brace yourselves, dear friends! In this episode, we delve into the earth-shattering revelation that OpenAI might have stumbled upon AGI (lol) and we're all just seconds away from being replaced by highly sophisticated toasters (lol lol). Spoiler alert: OpenAI's CEO is just playing 7D chess with the entire human race. So, sit back, relax, and enjoy this totally not ominous exploration into the 'totally not happening' future of AI!

Dive into the cool world of AI chips with us! 🚀 We're breaking down how these special computer chips for AI have evolved and what makes them different. Think of them like the superheroes of the tech world! Don't miss out! 🎙️🔍 #AIChips #TechTalk #SimpleScience

Hey there, engineering enthusiasts! Ever wondered how engineers deal with the wild, unpredictable twists and turns in their projects? In this episode, we're spilling the beans on uncertainty and why it's the secret sauce in every engineering recipe, not just the fancy stuff like deep learning and neural networks! Join us for a ride through the world of uncertainty quantification. Tune in and let's demystify the unpredictable together! 🎲🔧🚀 References https://www.osti.gov/servlets/purl/1428000 https://arc.aiaa.org/doi/pdf/10.2514/6.2010-124 https://arxiv.org/pdf/2001.10411

In this episode, dive deep into the world of Language Models as we decode their intricate structure, revealing how these powerful algorithms exploit concepts from the past. But... what if LLMs were just a database? References https://fchollet.substack.com/p/how-i-think-about-llm-prompt-engineering

In this episode, I delve into Elon Musk's foresight on the future of AI as he champions Rust programming language. Here is why Rust stands at the forefront of AI technology and the potential it holds. References https://github.com/WasmEdge/mediapipe-rs https://blog.stackademic.com/why-did-elon-musk-say-that-rust-is-the-language-of-agi-eb36303ce341

As a continuation of Episode 238, I explain some effective and fun attacks to conduct against LLMs. Such attacks are even more effective on models served locally, that are hardly controlled by human feedback. Have great fun and learn them responsibly. References https://www.jailbreakchat.com/ https://www.reddit.com/r/ChatGPT/comments/10tevu1/new_jailbreak_proudly_unveiling_the_tried_and/ https://arxiv.org/abs/2305.13860

Join me on an enlightening journey through the world of prompt engineering. Explore the multifaceted skills and strategies involved in harnessing the potential of large language models for various applications. From enhancing safety measures to augmenting models with domain knowledge, learn how prompt engineering is shaping the future of AI. References https://arxiv.org/pdf/2109.01652.pdf https://arxiv.org/abs/2201.11903 https://arxiv.org/abs/2302.00923 https://www.mihaileric.com/posts/a-complete-introduction-to-prompt-engineering https://www.axios.com/2023/02/22/chatgpt-prompt-engineers-ai-job

In this era of AI-powered code generation, software architects are facing a concerning decline in the quality of their creations. The once meticulously crafted software architectures are now being compromised. Should LLMs be responsible? References Program Design in the UNIX Environment https://harmful.cat-v.org/cat-v/unix_prog_design.pdf

Let's delve into the emerging trend in database design – or is it really a new trend? The realm of vector databases and their revolutionary influence on AI and ML is making headlines. Come along as we investigate how these groundbreaking databases are revolutionizing the landscape of data storage, retrieval, and processing, ultimately unlocking the complete potential of artificial intelligence and machine learning. But are they genuinely as innovative as they seem? References https://partee.io/2022/08/11/vector-embeddings/ https://blog.det.life/why-you-shouldnt-invest-in-vector-databases-c0cd3f59d23c https://medium.com/@ryanntk/choosing-the-right-embedding-model-a-guide-for-llm-applications-7a60180d28e3

In this episode, we dive into the world of data analytics and artificial intelligence with Ryan, the CEO, and Paul, the CTO of Zenlytic. Having graduated from Harvard and with extensive backgrounds in venture capital, consulting, and data engineering, Ryan and Paul provide valuable insights into their journey of building Zenlytic, a cutting-edge analytics platform. Join us as we explore how Zenlytic's natural language interface enhances user experiences, enabling seamless access and analysis of analytics data. Discover how their self-service platform empowers teams to leverage business intelligence effectively, and learn about the unique features that set Zenlytic apart from other analytics platforms in the market. Delve into the crucial aspects of data security and privacy while granting team access, and find out how Zenlytic's analytics capabilities have transformed companies into data-driven decision-makers, ultimately improving their performance. References Zenlytic Website: https://www.zenlytic.com/product AI Will Save the World (a16z): https://a16z.com/2023/06/06/ai-will-save-the-world/ Llama AI (ai.meta.com): https://ai.meta.com/llama/ "Llama 2: Open Foundation and Fine-Tuned Chat Models" (arxiv.org): https://arxiv.org/abs/2307.09288 "GPT-4 Technical Report" (arxiv.org): https://arxiv.org/abs/2303.08774

In this captivating podcast episode, join renowned financial expert Chris Skinner as he delves into the fascinating realm of the future of money. From cryptocurrencies to government currencies, the metaverse to artificial intelligence (AI), Skinner explores the intricate interplay between technology and humanity. Gain valuable insights as he defines the future of money, examines the potential impact of cryptocurrencies on traditional government currencies, and addresses the advantages and disadvantages of digital currencies. Delve into the complex issues of regulation and governance in the context of emerging financial technologies, and discover Skinner's unique perspective on the metaverse and its implications for the future of money and technology. Brace yourself for an enlightening discussion on the integration of AI in the financial sector and its potential impact on humanity. Tune in to explore the cutting-edge concepts that shape our financial landscape and get a glimpse of what lies ahead. You can read about Chris at https://thefinanser.com/ Sponsors This episode is sponsored by Setapp. Setapp is a platform that combines 230+ powerful MacOS and iOS apps and tools under one $9.99 subscription. Their selection of apps is mostly helpful for people who use their Macs as an actual working tool, covering complete use cases like coding, designing, project and time management and so on. Once subscribed, you get full access to paid features of the apps, as well as to new apps that are being constantly added. So you’ll always be sure you’re not missing out on any cool apps and services that actually help you do your work more efficiently for just a fraction of the price. Get 7 days for free at https://stpp.co/dsat

In this thought-provoking episode, we sit down with the renowned AI expert, Filip Piekniewski, Phd, who fearlessly challenges the prevailing narratives surrounding artificial general intelligence (AGI) and the singularity. With a no-nonsense approach and a deep understanding of the field, Filip dismantles the hype and exposes some of the misconceptions about AI, LLMs and AGI. Join us as we delve into the real-world implications of AI, separating fact from fiction, and gaining a firm grasp on the tangible possibilities of AI advancement. If you're seeking a refreshingly pragmatic perspective on the future of AI, this episode is an absolute must-listen. Filip Piekniewski Bio Filip Piekniewski is a distinguished computer vision researcher and engineer, specializing in visual object tracking and perception. He approaches machine learning with a pragmatic mindset, recognizing its current limitations. Filip earned his Ph.D. from Warsaw University, where he explored neuroscience and later joined Brain Corporation in San Diego. His extensive study of neuroscience inspired him to develop innovative, bio-inspired machine learning architectures. Filip's unique blend of scientific curiosity and software engineering expertise allows him to quickly prototype and implement new ideas. He is known for his realistic perspective on AI, debunking AGI hype and focusing on tangible advancements. Sponsors Finally, a better way to do B2B research. NewtonX The World’s Leading B2B Market Research Company Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. References https://twitter.com/filippie509 http://blog.piekniewski.info/ (On limits of deep learning and where to go next with AI.)

In this exciting episode, we dive into the world of Forward-Forward Neural Networks, unveiling their mind-boggling power and potential. Join us as we demystify these advanced AI algorithms and explore how they're reshaping industries and revolutionizing machine learning. From self-driving cars to personalized medicine, discover the cutting-edge applications that are propelling us into a new era of AI greatness. Get ready to unlock the secrets of Forward-Forward Neural Networks and witness the future of artificial intelligence unfold before your eyes. Don't miss out – tune in now and be part of the AI revolution! Sponsors Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. References The Forward-Forward Algorithm: Some Preliminary Investigations

Brace yourselves as we uncover the mind-blowing AI model, Google Bard, that's poised to challenge ChatGPT and other conversational AI systems. Join us as we explore the revolutionary features of Bard, its cutting-edge architecture, and its ability to generate human-like responses. Discover why AI enthusiasts are buzzing with excitement. References: [1] [2] [3] Sponsors Finally, a better way to do B2B research. NewtonX The World's Leading B2B Market Research Company References Google Unveils Palm-2: Its Revolutionary AI Model. https://datascientest.com/en/google-unveils-palm-2-its-revolutionary-ai-model Google AI - Discover Palm-2 https://ai.google/discover/palm2/ "Palm-2: A Large Scale Language Model for Conversational AI." ArXiv preprint arXiv:2305.10403 (2023). https://arxiv.org/abs/2305.10403

In this enlightening episode of our podcast, we delve into the fascinating realm of Physics Informed Neural Networks (PINNs) and explore how they combine the extraordinary prediction capabilities of neural networks with the unparalleled accuracy of physics models. Join us as we unravel the mysteries behind PINNs and their potential to revolutionize various scientific and engineering domains. We'll discuss the underlying principles that enable these networks to incorporate physical laws and constraints, resulting in enhanced predictions and a deeper understanding of complex systems. Sponsors This episode is supported by Mimecast - the email security solution that every business needs. With Mimecast, you get a security solution that is specifically designed for email and workplace collaboration. Head to mimecast.com for a free trial. References Physics Informed Deep Learning https://maziarraissi.github.io/PINNs/

In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true methods of software engineering. Join us as we explore the pros and cons of this paradigm shift and discuss what it means for the future of software development. Sponsors Bloomberg At Bloomberg, they solve complex, real-world problems for customers across the global capital markets. From real-time market data to sophisticated analytics, powerful trading tools, and more, Bloomberg engineers work with systems that operate at scale. If you're a software engineer looking for an exciting and fulfilling career, head over to bloomberg.com/careers to learn more. Arctic Wolf Cybercriminals are evolving. Their techniques and tactics are more advanced, intricate, and dangerous than ever before. Industries and governments around the world are fighting back, unveiling new regulations meant to better protect data against this rising threat. Arctic Wolf — the leader in security operations — is on a mission to end cyber risk by giving organizations the protection, information, and confidence they need to protect their people, technology, and data. Visit arcticwolf.com/datascience to take your first step.

Hold on to your calculators and buckle up for a wild mathematical ride in this episode! Brace yourself as we dive into the fascinating realm of Liquid Time-Constant Networks (LTCs), where mathematical content reaches new heights of excitement. In this mind-bending adventure, we demystify the intricacies of LTCs, from complex equations to mind-boggling mathematical concepts, we break them down into digestible explanations. References https://www.science.org/doi/10.1126/scirobotics.adc8892 https://spectrum.ieee.org/liquid-neural-networks#toggle-gdpr

Get ready for an eye-opening episode! 🎙️ In our latest podcast episode, we dive deep into the world of LoRa (Low-Rank Adaptation) for large language models (LLMs). This groundbreaking technique is revolutionizing the way we approach language model training by leveraging low-rank approximations. Join us as we unravel the mysteries of LoRa and discover how it enables us to retrain LLMs with minimal expenditure of money and resources. We'll explore the ingenious strategies and practical methods that empower you to fine-tune your language models without breaking the bank. Whether you're a researcher, developer, or language model enthusiast, this episode is packed with invaluable insights. Learn how to unlock the potential of LLMs without draining your resources. Tune in and join the conversation as we unravel the secrets of LoRa low-rank adaptation and show you how to retrain LLMs on a budget. Listen to the full episode now on your favorite podcast platform! 🎧✨ References LoRA: Low-Rank Adaptation of Large Language Models https://arxiv.org/abs/2106.09685 Low-rank approximation https://en.wikipedia.org/wiki/Low-rank_approximation Attention is all you need https://arxiv.org/pdf/1706.03762.pdf

This is the first episode about the latest trend in artificial intelligence that's shaking up the industry - running large language models locally on your machine. This new approach allows you to bypass the limitations and constraints of cloud-based models controlled by big tech companies, and take control of your own AI journey. We'll delve into the benefits of running models locally, such as increased speed, improved privacy and security, and greater customization and flexibility. We'll also discuss the technical requirements and considerations for running these models on your own hardware, and provide practical tips and advice to get you started. Join us as we uncover the secrets to unleashing the full potential of large language models and taking your AI game to the next level! Sponsors AI-powered Email Security Best-in-class protection against the most sophisticated attacks, from phishing and impersonation to BEC and zero-day threats https://www.mimecast.com/ References https://agi-sphere.com/llama-models/ https://crfm.stanford.edu/2023/03/13/alpaca.html https://beebom.com/how-run-chatgpt-like-language-model-pc-offline/ https://sharegpt.com/ https://stability.ai/

The journey of porting our projects to Rust was intense, but it was a decision we made to improve the quality of our software. The migration was not an easy task, as it required a considerable amount of time and resources. However, it was worth the effort as we have seen significant improvements in code reusability, code cleanliness, and performance. In this episode I will tell you why you should consider taking that journey too.

In this episode of our podcast, we dive deep into the fascinating world of Graph Neural Networks. First, we explore Hierarchical Networks, which allow for the efficient representation and analysis of complex graph structures by breaking them down into smaller, more manageable components. Next, we turn our attention to Generative Graph Models, which enable the creation of new graph structures that are similar to those in a given dataset. We discuss the inner workings of these models and their potential applications in fields such as drug discovery and social network analysis. Finally, we delve into the essential Pooling Mechanism, which allows for the efficient passing of information across different parts of the graph neural network. We examine the various types of pooling mechanisms and their advantages and disadvantages. Whether you're a seasoned graph neural network expert or just starting to explore the field, this episode has something for you. So join us for a deep dive into the power and potential of Graph Neural Networks. References Machine Learning with Graphs - http://web.stanford.edu/class/cs224w/ A Comprehensive Survey on Graph Neural Networks - https://arxiv.org/abs/1901.00596

In this episode, I explore the cutting-edge technology of graph neural networks (GNNs) and how they are revolutionizing the field of artificial intelligence. I break down the complex concepts behind GNNs and explain how they work by modeling the relationships between data points in a graph structure. I also delve into the various real-world applications of GNNs, from drug discovery to recommendation systems, and how they are outperforming traditional machine learning models. Join me and demystify this exciting area of AI research and discover the power of graph neural networks.

In this episode, we dive into the not-so-secret sauce of ChatGPT, and what makes it a different model than its predecessors in the field of NLP and Large Language Models. We explore how human feedback can be used to speed up the learning process in reinforcement learning, making it more efficient and effective. Whether you're a machine learning practitioner, researcher, or simply curious about how machines learn, this episode will give you a fascinating glimpse into the world of reinforcement learning with human feedback. Sponsors This episode is supported by How to Fix the Internet, a cool podcast from the Electronic Frontier Foundation and Bloomberg, global provider of financial news and information, including real-time and historical price data, financial data, trading news, and analyst coverage. References Learning through human feedback https://www.deepmind.com/blog/learning-through-human-feedback Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback https://arxiv.org/abs/2204.05862

In this episode, we explore the potential of the highly anticipated GPT-4 language model and the challenges that come with its development. From its ability to generate highly coherent and creative text to concerns about ethical considerations and the potential misuse of such technology, we delve into the promise and pitfalls of GPT-4. Join us as we speak with experts in the field to gain insights into the latest developments and the impact that GPT-4 could have on the future of natural language processing.

In this episode, we dive into the ways in which AI and machine learning are disrupting traditional software engineering principles. With the advent of automation and intelligent systems, developers are increasingly relying on algorithms to create efficient and effective code. However, this reliance on AI can come at a cost to the tried-and-true methods of software engineering. Join us as we explore the pros and cons of this paradigm shift and discuss what it means for the future of software development.

In this episode, we dive into the fascinating world of zero-knowledge proofs and their impact on data science. Zero-knowledge proofs allow one party to prove to another that they know a secret without revealing the secret itself. This powerful concept has numerous applications in data science, from ensuring data privacy and security, to facilitating secure transactions and identity verification. We explore the mechanics of zero-knowledge proofs, its real-world applications, and how it is revolutionizing the way we handle sensitive information. Join us as we uncover the secrets of zero-knowledge proofs and its impact on the future of data science. Sponsors Want to enjoy the 4K video anytime, anywhere? With ASUS ZenWiFi you can. Asus ZenWiFi XD5 mesh system puts your WiFi on steroids. It has a super easy Setup, with Flexible Network Naming, Lifelong free AiProtection and of course WiFi 6 technology. With Asus ZenWifi XD5 you get superfast, reliable and secure WiFi connections in every corner of your home! With Asus ZenWifi XD5, you get the best WiFi experience! Find more at https://asus.click/ZenWiFi_XD5

Deep learning methods are not as effective with tabular data. Here is why, and what to do about it. Sponsors If you're ready to take your WiFi game to the next level, head over to asus.click/ZenWiFi_XD5 or check out the show notes for this episode. Trust me, with ASUS ZenWiFi XD5, you'll get the best WiFi experience ever! References https://paperswithcode.com/methods/category/deep-tabular-learning https://m-clark.github.io/posts/2022-04-01-more-dl-for-tabular/

In this episode I speak about online learning systems and why blindly choosing such a paradigm can lead to very unpredictable and expensive outcomes. Also in this episode, I have to deal with an intruder :) Links Birman, K.; Joseph, T. (1987). "Exploiting virtual synchrony in distributed systems". Proceedings of the Eleventh ACM Symposium on Operating Systems Principles - SOSP '87. pp. 123–138. doi:10.1145/41457.37515. ISBN 089791242X. S2CID 7739589.

In this episode, I'll be discussing the capabilities and limitations of ChatGPT, an advanced language AI model. I'll go over its power to understand and respond to natural language, and its applications in tasks such as language translation and text summarization. However, I'll also touch on the challenges that still need to be overcome such as bias and data privacy concerns. Tune in for a comprehensive look at the current state of advanced language AI. References https://datascienceathome.com/have-you-met-shannon-conversation-with-jimmy-soni-and-rob-goodman-about-one-of-the-greatest-minds-in-history/

In this episode I am with Kevin McNamara, founder and CEO of Parallel Domain. We speak about a very effective method to generate synthetic data that is currently in production at Parallel Domain. Enjoy the show! References Parallel Domain Synthetic Data Improves Cyclist Detection (blog post): https://paralleldomain.com/parallel-domain-synthetic-data-improves-cyclist-detection/ Beating the State of the Art in Object Tracking with Synthetic Data: https://paralleldomain.com/beating-the-state-of-the-art-in-object-tracking-with-synthetic-data/ Parallel Domain Open Synthetic Dataset: https://paralleldomain.com/open-datasets/bicycle-detection How Toyota Research Institute Trains Better Computer Vision Models with PD Synthetic Data (interview): https://www.youtube.com/watch?v=QIYttoVxf2w Career Opportunities: https://paralleldomain.com/careers

Our Sponsors NordPass Business has developed a password manager, that will save you a lot of time and energy whenever you need access to business accounts, work across devices, even with the other members of your team, or whenever you need to share sensitive data with your colleagues, or make payments efficiently. All this with the highest standard of cyber secure technology. See NordPass Business in action now with a 3-month free trial here https://nordpass.com/DATASCIENCE with code DATASCIENCE Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.

Is it possible to reconstruct a 3D model from a simple image? Under certain constraints, it is! In this episode I tell you how. Our Sponsors Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance. References https://github.com/isl-org/Open3D https://huggingface.co/docs/transformers/model_doc/glpn https://arxiv.org/abs/2201.07436

What if we borrowed from physics some theories that would interpret deep learning and machine learning in general? Here is a list of plausible ways to interpret our beloved ML models and understand why they works, or they don't. Enjoy the show! Our Sponsors NordPass Business has developed a password manager, that will save you a lot of time and energy whenever you need access to business accounts, work across devices, even with the other members of your team, or whenever you need to share sensitive data with your colleagues, or make payments efficiently. All this with the highest standard of cyber secure technology. See NordPass Business in action now with a 3-month free trial here https://nordpass.com/DATASCIENCE with codeDATASCIENCE Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.

If you think that the problem of self-driving cars has been solved, think twice. As a matter of fact, the problem of self-driving cars cannot be solved with the technical solutions that companies are currently considering. Don't get fooled by marketing and PR on social media. Whoever is telling you they solved the problem of driving a vehicle fully autonomously, they are lying. Here is why. Our Sponsors Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.

Let's look at the history of data platforms. How did they evolve? Why? Shall I switch to the latest architecture? Enjoy the show! Our Sponsors Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide. Check it out at https://arcticwolf.com/datascience Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.

Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence. However, there is doubt about how powerful and effective such research efforts are. Is studying AI in academia a waste of time? Our Sponsors Ready to advance your career in data science? University of Cincinnati Online offers nationally recognized educational programs in business analytics and information systems. Predictive Analytics Today named UC as the No.1 MS Data Science school in the country and is nationally recognized with a proven track record of placing students at high-profile companies such as Google, Amazon and P&G. Discover more about the University of Cincinnati’s 100% online master’s degree programs at online.uc.edu/obais Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Healthcare/RWE, and Predictive maintenance.