Silicon Valley Hands On Programming Events

Deep learning is evolving quickly. Important new developments are appearing daily. This group attempts to keep up by reading and discussing current deep learning literature. This meetup uses discussion among the participants to speed understanding of current research results. That requires that some participants read the paper before attending. Anyone is welcome to attend and listen without reading the paper. If nobody reads the paper the meeting will be short.

Happy New Year!
Paper (a blog) for January 6, 2026:
When Models Manipulate Manifolds: The Geometry of a Counting Task
https://transformer-circuits.pub/2025/linebreaks/index.html

Papers that we're reading, code that participants generate and other random stuff can be found at github site for the group.
https://github.com/davidmacmillan/DeepLearningStudyGroup

RL Working group. By invite only. Send message via meetup messages for invite. Work on demos for work or personal learning.

The focus is on RL algorithms, agents, vLLM internals and vLLM applications.

GPU time provided by AMD Developer Cloud based on quality of individual contributions.

https://www.amd.com/en/developer/resources/cloud-access/amd-developer-cloud.html

You have to apply and provide updates on your progress to AMD. I don't manage credits. We have given credits to participants in the past for showing up which was a failed experiment.

RL algorithms for inference and fine tuning, chain of thoughts, tree of thoughts, thought of programs

This is a programming event. Participants show each other what they did in colab and ask for constructive feedback. This is not for influencers who leave low reviews if they don't get exactly what they need to feel important.

Deep learning is evolving quickly. Important new developments are appearing daily. This group attempts to keep up by reading and discussing current deep learning literature. This meetup uses discussion among the participants to speed understanding of current research results. That requires that some participants read the paper before attending. Anyone is welcome to attend and listen without reading the paper. If nobody reads the paper the meeting will be short.

TBD

Papers that we're reading, code that participants generate and other random stuff can be found at github site for the group.
https://github.com/davidmacmillan/DeepLearningStudyGroup