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AI superstream : retrieval-augmented generation (RAG) in production : leveraging your data for AI applications.
- Format:
- Video
- Language:
- English
- Subjects (All):
- Natural language generation (Computer science).
- Artificial intelligence--Computer programs.
- Artificial intelligence.
- Natural language processing (Computer science).
- Physical Description:
- 1 online resource (1 video file (3 hr., 47 min.)) : sound, color
- Edition:
- [First edition].
- Place of Publication:
- [Place of publication not identified] : O'Reilly Media, Inc., [2025]
- Summary:
- Sponsored by Oso Security, Inc. Retrieval-augmented generation (RAG) has the potential to revolutionize how machines understand and generate human language. Join us to learn how to leverage the pioneering concepts and emerging technologies behind RAG in production environments today. Leading experts in the field will help you unravel the mysteries of integrating traditional generative models with the latest retrieval techniques to enhance the relevance, accuracy, and contextuality of generated text. You'll discover the practicalities of meshing RAG with your current systems, get tips on optimizing your information retrieval processes, find out how to overcome common hurdles in production deployment, and much more. What you'll learn and how you can apply it Understand the foundations of retrieval-augmented generation and its benefits for AI-powered applications Explore real-world AI applications that leverage RAG to improve accuracy and reliability Discover the challenges of putting RAG systems in production and learn solutions for dealing with them Recommended follow-up: Read Retrieval Augmented Generation in Production with Haystack (early release book) Watch Building Retrieval Augmented Generation (RAG) Applications with LlamaIndex (on-demand course).
- Notes:
- OCLC-licensed vendor bibliographic record.
- OCLC:
- 1508837619
- Publisher Number:
- 0642572124854
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