Agent Factory Recap: Reinforcement Learning on TPUs
🤖 This recap of the Agent Factory holiday special summarizes practical guidance on model fine-tuning, with a focus on reinforcement learning (RL) and Google’s TPU infrastructure. Hosts Shir Meir Lador and Don McCasland speak with Kyle Meggs from the TPU Training Team about when to fine-tune, the distinction between pre‑training, SFT, and RL, and why specialized workloads benefit from hosted solutions like MaxText on TPUs. The post also demonstrates a GRPO demo using Pathways, vLLM, and Tunix components to show RL at scale.
