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DTSTART:20240310T080000
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DTSTART;TZID=America/Chicago:20240710T180000
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CREATED:20240505T034618Z
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UID:1655-1720634400-1720638000@hsv.ai
SUMMARY:RAG Prompt Engineering
DESCRIPTION:If you have ever tried to prompt an LLM to give you what you want\, you have probably run into some frustrating challenges. This frustration can range from trying to write what you want in pseudo-code to arguing with a child about putting their toys away. \nThis week we will focus on some guidelines for building successful prompts for a RAG system. There is a lot of art and craft associated\, and the answer to most questions is “it depends”. To help understand this better\, we will pull back the curtain and talk about WHY certain prompts are effective and what types of situations they may apply to. \nI am learning more about this subject every day\, so if you have prior experience or tips that I should include – please reply and I’ll add them to the talk.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSeries: \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. \nLinks: \n\nHuntsville AI 2022 SpaceApps Submission – https://github.com/HSV-AI/spaceapps2022\nOpenAI Discussion – https://community.openai.com/t/prompt-engineering-for-rag\nPrompt Engineering Guide – https://www.promptingguide.ai/\nOpenAI Cookbook – https://cookbook.openai.com/\n\n\nDetails: \n\nDate – 07/10/2024\nTime – 6-7pm\nLocation – HudsonAlpha\nAddress –  601 Genome Way Northwest\, Huntsville\, AL 35806\nZoom –https://us02web.zoom.us/j/82515370839?pwd=66LA4Gpn9WXecEZzK4aS6Mnaghj1tC.1
URL:https://hsv.ai/event/rag-prompt-engineering/
LOCATION:HudsonAlpha\, 601 Genome Way Northwest\, Huntsville\, AL\, 35806
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/05/RAG-Prompts.png
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