![]() That is to say, the system hasn’t been trained on the example data from the web necessary for it to actually work. The system combines PaLM, a large language model from Google, and a technique called Reinforcement Learning with Human Feedback - RLHF, for short - to create a system that can accomplish pretty much any task that ChatGPT can, including drafting emails and suggesting computer code.īut PaLM + RLHF isn’t pre-trained. This week, Philip Wang, the developer responsible for reverse-engineering closed-sourced AI systems including Meta’s Make-A-Video, released PaLM + RLHF, a text-generating model that behaves similarly to ChatGPT.
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