Matrices - Training Environments for LLM Agents
matrices.ai · 786 words · saved by 1 readers
Training environments for multimodal LLM-based agents on realistic computer use tasks.
Since March, we've partnered with frontier AI labs to help train computer use agents in the vein of ChatGPT Agent. Along the way, we've realized that no more surprising research breakthroughs are needed to automate most of the work that humans do today. The bottleneck is now engineering. But there's a lot of it to do. For most of LLM history, progress has been made primarily from scaling up SFT, which is about learning to mimic humans directly from records of human behavior. But over the last couple of years, the most exciting progress in AI capabilities has been through RL, which is about…
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