Techniques, Challenges, and Future of Augmented Language Models

After attending several conferences in the past month, it’s evident that Retrieval Augmented Generation (RAG) has emerged as one of the most popular techniques in AI over the past year, widely adopted by many AI teams. RAG refers to the process of supplementing a large language model (LLM) with additional information retrieved from elsewhere toContinue reading "Techniques, Challenges, and Future of Augmented Language Models"

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