Origins, Motivations, Techniques, and Modern Applications

• AI development has evolved from early language models like BERT and T5 to advanced Large Language Models (LLMs) like GPT-4.
• The shift from supervised learning to RLHF (Reinforcement Learning from Human Feedback) addresses limitations of earlier models.
• RLHF involves collecting human feedback, training a reward model, and using it to fine-tune LLMs for more aligned outputs.
• RLHF enables LLMs to produce higher quality, human-aligned outputs, especially in tasks like summarization.
• Early RLHF research laid the groundwork for advanced AI systems like InstructGPT and ChatGPT, aiming for long-term alignment of AI with human goals.

https://open.substack.com/pub/cameronrwolfe/p/the-story-of-rlhf-origins-motivations