{"version":"1.0","type":"card","id":"a4cb25c2-601e-4faa-a3a2-3fb9bfd5d339","url":"https://stacklist.com/card/a4cb25c2-601e-4faa-a3a2-3fb9bfd5d339","title":" Building RAG Agents with LLMs | NVIDIA","source_url":"https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-15+V1","note":"About this Course\nThis course is free for a limited time.\n\nThe evolution and adoption of large language models (LLMs) have been nothing short of revolutionary, with retrieval-based systems at the forefront of this technological leap. These models are not just tools for automation; they are partners in enhancing productivity, capable of holding informed conversations by interacting with a vast array of tools and documents. This course is designed for those eager to explore the potential of these systems, focusing on practical deployment and the efficient implementation required to manage the considerable demands of both users and deep learning models. As we delve into the intricacies of LLMs, participants will gain insights into advanced orchestration techniques that include internal reasoning, dialog management, and effective tooling strategies.\n\nLearning Objectives\nThe goal of the course is to teach participants how to:\n\nCompose an LLM system that can interact predictably with a user by leveraging internal and external reasoning components.\nDesign a dialog management and document reasoning system that maintains state and coerces information into structured formats.\nLeverage embedding models for efficient similarity queries for content retrieval and dialog guardrailing.\nImplement, modularize, and evaluate a RAG agent that can answer questions about the research papers in its dataset without any fine-tuning.\nBy the end of this workshop, participants will have a solid understanding of RAG agents and the tools necessary to develop their own LLM applications.\n","image":{"url":"https://ucarecdn.com/92659074-05c5-4199-bfab-554dfb3944df/-/crop/1652x1654/0,0/-/preview/","alt":" Building RAG Agents with LLMs | NVIDIA","width":1200,"height":630},"stack":{"id":"07466339-fd88-47f4-a6fe-9b057c9d2bdc","title":"Master AI & GPU Computing with NVIDIA’s Free Courses","url":"https://stacklist.com/c/technology/stack/07466339-fd88-47f4-a6fe-9b057c9d2bdc"},"created_at":"2025-02-15T23:24:55.268Z","updated_at":null,"aco":{"summary":"This website is about NVIDIA's Deep Learning Institute (DLI) training programs. It offers self-paced courses, instructor-led workshops, and certification programs. The website also provides information about NVIDIA's training resources, including learning paths, free training, and training videos on demand. \n","tags":[],"key_entities":[],"classification":null,"language":null,"confidence":null,"provenance":null,"token_counts":{"approximate":89},"content_hash":null,"acp_version":"0.2","body_available":false,"body_tokens":0,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/a4cb25c2-601e-4faa-a3a2-3fb9bfd5d339.json","html":"https://stacklist.com/card/a4cb25c2-601e-4faa-a3a2-3fb9bfd5d339","md":"/api/public/card/a4cb25c2-601e-4faa-a3a2-3fb9bfd5d339.md","stack_json":"/api/public/stack/07466339-fd88-47f4-a6fe-9b057c9d2bdc.json"}}