Aligning LLM Outputs
Sinan dives into the concept of alignment in large language models, explaining how to transform pre-trained models into effective conversational agents. He discusses the importance of teaching these models to learn new information dynamically while maintaining coherent dialogue. His insights are valuable for both technical enthusiasts and those new to the field of AI.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
784: Aligning Large Language Models — with Sinan Ozdemir
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