i wanted to learn about huggingface’s rlhf project and visited their blog. no post yet.
[note: i used to prefer the opencog approach to AI which needs no nvidia cards. i would add subcontextual knowledgesets and a sugar interface to simplify names and use.] - i found huggingface’s peft work. their peft library is a more integrated form of adapters that they are actively working on. just like adapters it lets you train large models on low-end systems by working off pretrained ones, - i found their demo of decision transformers. this is a paper from 2021 which normalizes a structure for using autoregressive models as reinforcement learning policies (they plug gpt2 into an agent that learns to walk, without trial using only recorded data). since this is integrated into formal and normative instructions i’m interested in exploring it, and planning to. we’ll see how this share influences that decision,
