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LLM System Engineering with Denys Linkov
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Join us as we explore the advancements and challenges in implementing Retriever-Augmented Generation (RAG) systems for document retrieval and summarization, examining selective information inclusion, re-ranking strategies, and the importance of document parsing and query pre-processing. We discuss with Denys Linkov the practical applications, benefits, and considerations of RAG-based solutions in improving information retrieval accuracy and relevance.
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Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.
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Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on January 04, 2025 16:10 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 399649904 series 3519364
Join us as we explore the advancements and challenges in implementing Retriever-Augmented Generation (RAG) systems for document retrieval and summarization, examining selective information inclusion, re-ranking strategies, and the importance of document parsing and query pre-processing. We discuss with Denys Linkov the practical applications, benefits, and considerations of RAG-based solutions in improving information retrieval accuracy and relevance.
—
Continue listening to The Prompt Desk Podcast for everything LLM & GPT, Prompt Engineering, Generative AI, and LLM Security.
Check out PromptDesk.ai for an open-source prompt management tool.
Check out Brad’s AI Consultancy at bradleyarsenault.me
Add Justin Macorin and Bradley Arsenault on LinkedIn.
Please fill out our listener survey here to help us create a better podcast: https://docs.google.com/forms/d/e/1FAIpQLSfNjWlWyg8zROYmGX745a56AtagX_7cS16jyhjV2u_ebgc-tw/viewform?usp=sf_link
Hosted by Ausha. See ausha.co/privacy-policy for more information.
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