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UID:1606-1709748000-1709751600@www.hsv.ai
SUMMARY:Retrieval Augmented Generation
DESCRIPTION:This week we will be talking about Retrieval Augmented Generation – also known as RAG. The basic premise is to use an existing LLM to generate content based on an existing collection of documents. This removes the need to fine-tune an LLM\, which is cost prohibitive and hardware constrained. \nOver the next several sessions\, we will be diving deeper into separate components needed for RAG – hopefully resulting in a chat-based Q&A service for the NASA Technical Report Server.  We were introduced to this data during our submission for the 2022 NASA SpaceApps Challenge – where we placed 2nd. Our submission was a semantic search based on the abstracts for the NSTR dataset of 10\,000 papers. \nFor this session\, we will cover an overview of RAG as well as walk through the submission from the challenge. I have recently updated it to work with current versions of the dependent libraries – so we can demonstrate the starting point for this project. \nAlso – if you missed last week’s session on AI & Video – you can find the recording here – https://hsv.ai/2024/02/22/ai-breakthroughs-in-video/ \nLinks: \n\nRAG Paper – https://arxiv.org/pdf/2005.11401.pdf\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\n\n\nDetails: \n\nDate – 03/06/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/82845221441?pwd=cEdZYXBlVm1naC82U0dpZlljV1B6Zz09\n\n\nHope to see you soon!\n-J.
URL:https://www.hsv.ai/event/retrieval-augmented-generation/
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