NVIDIA DLI Workshop: Building RAG Agents with LLMs

Agents powered by large language models (LLMs) are quickly gaining popularity as people are finding new capabilities and opportunities to greatly improve their productivity. An especially powerful recent development has been the popularisation of retrieval-based LLM systems that can hold informed conversations by using tools, looking at documents, and planning their approaches. These systems are fun to experiment with and offer unprecedented opportunities to make life easier, but they also require many queries to large deep learning models and need to be implemented efficiently. This course will observe how you can deploy an agent system in practice and scale up your system to meet the demands of users and customers. Along the way, you’ll learn advanced LLM orchestration techniques for internal reasoning, dialog management, tooling, and retrieval.