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Beyond Chatbots: How Large Language Models Are Evolving with Retrieval-Augmented Generation (RAG)
In this episode, we dive deep into the concept of Retrieval-Augmented Generation (RAG) and how it empowers large language models (LLMs) to go beyond basic Q&A. Discover how LLMs can access and use real-time information to analyze financial data, assist in medical diagnoses, and aid legal professionals. We'll break down the four levels of RAG queries and the techniques researchers use to improve reasoning in LLMs, like prompt engineering, chain-of-thought prompting, and handling multimodal data. Join us as we explore the challenges and innovations of integrating external knowledge into LLMs. #AI #MachineLearning #RAG #RetrievalAugmentedGeneration #DeepLearning #LLMs #AIResearch #PromptEngineering
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By StevenIn this episode, we dive deep into the concept of Retrieval-Augmented Generation (RAG) and how it empowers large language models (LLMs) to go beyond basic Q&A. Discover how LLMs can access and use real-time information to analyze financial data, assist in medical diagnoses, and aid legal professionals. We'll break down the four levels of RAG queries and the techniques researchers use to improve reasoning in LLMs, like prompt engineering, chain-of-thought prompting, and handling multimodal data. Join us as we explore the challenges and innovations of integrating external knowledge into LLMs. #AI #MachineLearning #RAG #RetrievalAugmentedGeneration #DeepLearning #LLMs #AIResearch #PromptEngineering