LangTalks

Find the most suitable project for volunteer support "Iron swords" war efforts

Advanced prompt engineering techniques: skeleton of thoughts, directional stimulus prompting, graph of thoughts, augmentations

Full stack LLM app development, Typescript vs Python

Finetuning techniques (SFT, RLHF...), pros & cons, tools (technical episode)

why should you care about open source models, when and how to finetune, inference best practices, deployment & serving tools, models overview

Drill down on a summarization task use case

Save time building applications with LLMs by utilizing tools like LangChain, Llama index, Guidance, GPTCache and many more

Why you might need a VectorDB, which features to consider when choosing a provider, and use cases examples

From an agent POC with LangChain to production challenges

Security, privacy, compliance & safety of LLM-based applications

Explore the theory of embeddings and their practical applications

Overviewing the main concepts of LangChain framework and how to get started

Theory and benchmarks for zero shot, few shot, chain of thoughts, and tree of thoughts

The evolution of Language Models and OpenAI's training techniques.

Introduction about Lee & Gal and what LangTalks is about