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The dirty little secret of Large Language Models is how many humans are in the loop.[0][1] Transformers are great at building extremely complex maps of languag
by RC_ITR 4y ago
The dirty little secret of Large Language Models is how many humans are in the loop.[0][1]
Transformers are great at building extremely complex maps of language without any human interventions, but if you want them to consistently query the right part of the map (e.g., His Codepen search example), you need a very non-trivial amount of human feedback.
Will be interesting to see if all this hype leads to a solution that scales better than what we do now (so that orgs. actually could have insanely good AI chatbots trained on their docs), but the jury is still definitely out on that.
[0]https://openai.com/research/learning-from-human-preferences https://openai.com/research/learning-from-human-preferences
[1] https://openai.com/research/instruction-following https://openai.com/research/instruction-following
- politician 4y agoWow - [1] should be considered required reading. OpenAI is baking in human employee biases during fine-tuning. I would want to see the exact set of posed completions and paired responses.
- O__________O 4y agoMy understanding is majority of “Reinforcement Learning from Human Feedback (RLHF)” for OpenAI comes from contractors: - https://time.com/6247678/openai-chatgpt-kenya-workers/ https://time.com/6247678/openai-chatgpt-kenya-workers/