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LLM System Engineering with Denys Linkov
Manage episode 399649904 series 3519364
Content provided by Justin Macorin and Bradley Arsenault. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justin Macorin and Bradley Arsenault or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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.
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.
52 episodes
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Manage episode 399649904 series 3519364
Content provided by Justin Macorin and Bradley Arsenault. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Justin Macorin and Bradley Arsenault or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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.
52 episodes
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Similar to The Prompt Desk
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