Chain of Thought
Riley discusses the necessity of incorporating chain of thought and pause tokens in AI models, emphasizing that constant output can lead to hallucinations. He suggests that the traditional autoregressive approach may not be the ultimate solution, hinting at the potential for more effective ways to represent sequences in text generation. The conversation reveals a deeper understanding of how models can benefit from structured thinking rather than rapid-fire responses.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Mental Models for Advanced ChatGPT Prompting with Riley Goodside - 652
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