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Build LLMs From Scratch with Sebastian Raschka #52

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Advancements in Large Language Models

This chapter explores the evolution and advancements of large language models (LLMs) from earlier versions like GPT-2 to newer ones such as Llama 3. It discusses architectural innovations, including positional embeddings and context size, and evaluates the effectiveness of different model types for specific applications. Additionally, it highlights the integration of multimodal data in LLMs, showcasing the future potential and current challenges within the field.

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