Roles to play in the AI dev workflow (Practical AI #93)
Changelog Master Feed · Changelog Media
Audio is streamed directly from the publisher (op3.dev) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Sponsors:
- DigitalOcean – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at do.co/changelog.
- The Brave Browser – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in Basic Attention Token. Download Brave for free and give tipping a try right here on changelog.com.
- Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com.
- Rollbar – We move fast and fix things because of Rollbar. Resolve errors in minutes. Deploy with confidence. Learn more at rollbar.com/changelog.
Featuring:
Show Notes:
Streamlit:
GPU acceleration in Windows Subsystem for Linux
Fairness and bias:
- Google’s explanation of bias in their ML crash course
- IBM fairness 360
- Google’s responsible AI practices
- Driven Data’s Deon project
- Previous Practical AI episode about bias in AI and hiring
- US Department of Defense Ethical principles for AI
Chris’s personal, COVID-related blog post
Something missing or broken? PRs welcome!