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Episode 9: Large Language Models
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This episode serves as an introduction to large language models (LLMs). It covers fundamental concepts, including pre-training methods and generative models, as well as practical aspects. The document addresses instruction fine-tuning, chain of thought (CoT) prompting, and methods for enhancing LLM performance. Furthermore, discuss fine-tuning LLMs with labeled data and reward models for instruction and human preference alignment.
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