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Dive into the fundamentals of retrieval-augmented generation (RAG) to unlock the potential of domain-specific, real-time data for generative AI.
Explore how RAG empowers businesses with domain-specific, real-time data and learn the process of setting up workflows for building AI assistants and chatbots.
Learn how RAG and large language models are transforming traditional chatbots into enterprise-ready, intelligent AI assistants.
Discover the technical backbone behind accurate information retrieval, semantic search, and context-rich outputs.
Set up an internal test dataset to assess accuracy and latency requirements.
Explore NVIDIA NeMo™, NVIDIA NIM™, and blueprints for customizing, deploying, and scaling AI solutions efficiently and securely.