On this week’s episode of the podcast, I interview Yifan Mai, a Senior Software Engineer on Google’s TensorFlow team who left the private sector to go do AI research at Stanford.
He’s the lead maintainer of the open source HELM project, where he benchmarks the performance of Large Language Models.
We talk about:
Open Source VS Open Weights in LLMs
The Ragged Frontier of LLM use cases
AI impact on jobs and our predictions
What to learn so you can stay above the waterline
Can you guess what song I’m playing in the intro? I put the entire cover song at the end of the podcast if you want to listen to it, and you can watch me play all the instruments on the YouTube version of this episode.
You can watch the interview on YouTube:
Or you can listen to the podcast in Apple Podcasts, Spotify, or your favorite podcast app. Be sure to follow the freeCodeCamp Podcast there so you’ll get new episodes each Friday.
Also, I want to thank the 11,036 kind people who support our charity each month, and who make this podcast possible. You can join them and support our mission at: https://www.freecodecamp.org/donate
Links we talk about during our conversation:
Yifan’s personal website: yifanmai.com
HELM Leaderboards: https://crfm.stanford.edu/helm/
HELM GitHub Repository: https://github.com/stanford-crfm/helm
Stanford HAI Blog: https://crfm.stanford.edu/helm/
Source: freeCodeCamp Programming Tutorials: Python, JavaScript, Git & MoreÂ
