LLM Challenges
The discussion delves into the complexities of training large language models, particularly addressing the hallucination problem. While RLHF shows promise in refining models for specific tasks like coding, its effectiveness in more general applications remains questionable. The conversation highlights the gap between the model's output and reality, showcasing the need for further advancements in understanding and accuracy.In this clip
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Eye on AI
Navigating the Language of AI & Large Language Models | Scott Downes
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