The article provides a comprehensive overview of Large Language Models (LLMs) and Foundation Models, covering key concepts like fine-tuning, RAG (Retrieval Augmented Generation), and the emergence of local LLMs. From understanding model architectures to exploring on-device processing, it delves into the nuances shaping the future of AI applications.
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