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X-WR-CALDESC:Events for Huntsville AI
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DTSTART;TZID=America/Chicago:20250219T180000
DTEND;TZID=America/Chicago:20250219T190000
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SUMMARY:VIRTUAL ONLY - Deep Research Overview
DESCRIPTION:This week we will have Jack Francis provide an overview of Deep Research: \nWe will explore Google’s Gemini Deep Research\, OpenAI’s Deep Research\, and Open-Source Deep Research implementations. Deep Research is an LLM agent that uses reasoning to synthesize large amounts of online information and complete multi-step research tasks for you. We’ll dive into the mechanics of Deep Research\, discussing how these agents function and some of the benchmarks used to evaluate the models. \nWe will discuss the strengths and limitations of each approach\, provide examples for comparison\, and talk through Deep Research use cases\, such as market research! Deep Research is useful tool to add to your toolbox for market research\, decision analysis\, or any other task that requires significant amounts of “Googling” today. The goal of the presentation is to introduce Deep Research and provide an overview of current tools\, so that you can use it effectively for your own research tasks. \nPaper Review Series \nThanks to Josh for the great kickoff to the paper review series last week! You can find the recording\, links to papers\, and transcript here: \nhttps://hsv.ai/2025/02/12/ai-reasoning-reinforcement-learning-fundamental-papers-history/ \nIf you have a paper that you would like to see us review\, please let me know. We’ll post the date for March as soon as it’s finalized.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nLinks & Other Events: \n\n2025 HATCH – https://hudsonalpha.org/techchallenge/\n2025 BSides – https://nac-issa.org/events/bsides/\n\nDetails: \n\nDate – 2/19/2025\nTime – 6-7:30pm\nLocation – VIRTUAL\nZoom –https://us02web.zoom.us/j/84476860693?pwd=D2UGBsfpb5ZKoJEGMiFZaroV9aEb28.1
URL:https://hsv.ai/event/deep-research-overview/
ATTACH;FMTTYPE=image/png:https://hsv.ai/wp-content/uploads/2024/12/Deep-Research-Overview.png
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