Need More Relevant LLM Responses? Address These Retrieval Augmented Generation Challenges

Machine Learning Tech Brief By HackerNoon

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How to Be a Better Human

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Throwing good parties and building community (w/ Priya Parker) 38:16

23 weeks پیش38:16

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38:16

Many of us are entering the new year with a similar goal — to build community and connect more with others. To kick off season five, Priya Parker shares ideas on how to be the host with the most. An expert on building connection, Priya is the author of “The Art of Gathering: How We Meet and Why It Matters.” Whether it's a book club, wedding, birthday or niche-and-obscurely themed party, Priya and Chris talk about how to create meaningful and fun experiences for all of your guests — including yourself. For the full text transcript, visit go.ted.com/BHTranscripts . For the full text transcript, visit go.ted.com/BHTranscripts Want to help shape TED’s shows going forward? Fill out our survey here ! Learn more about TED Next at ted.com/futureyou Hosted on Acast. See acast.com/privacy for more information.…

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This story was originally published on HackerNoon at: https://hackernoon.com/need-more-relevant-llm-responses-address-these-retrieval-augmented-generation-challenges-part-1.
we look at how suboptimal embedding models, inefficient chunking strategies and a lack of metadata filtering can make it hard to get relevant responses from you
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This story was written by: @datastax. Learn more about this writer by checking @datastax's about page, and for more stories, please visit hackernoon.com.
we look at how suboptimal embedding models, inefficient chunking strategies and a lack of metadata filtering can make it hard to get relevant responses from your LLM. Here’s how to surmount these challenges.

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