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SUMMARY:J-Spring 2024
DESCRIPTION:
URL:https://nljug.org/evenement/j-spring-2024/
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SUMMARY:Neo4J Meetup: From Knowledge to Insights with Neo4j and Machine Learning
DESCRIPTION:Thursday \, Oct 10 · 6:00 PM  Meetup : From Knowledge to Insights with Neo4j and Machine Learning\n\n\nDEVOXX 2024 is around the corner in 2 weeks in Antwerp. To complement this great event Neo4j and Hopsworks invite you to a great meetup in Antwerp\, just a short tram ride away from DEVOXX. \n\n\n\nDuring this meetup there are 3 fantastic talks: \nMichael Hunger\, lead product innovation and developer strategy at Neo4j\, will explain the role Neo4j is playing in the GenAI journey. \nWe all know that LLMs hallucinate and RAG can help by providing current\, relevant information to the model for generative tasks.\nBut can we do better than just vector retrievals? A knowledge graph can represent data (and reality) at high fidelity and can make this rich context available based on the user’s questions. But how to turn your text data into graphs data structures?\nHere is where the language skills of LLM can help to extract entities and relationships from text\, which you then can correlate with sources\, cluster into communities and navigate while answering the questions.\nIn this talk we will both dive into Microsoft Research’s GraphRAG approach as well as run the indexing and search live with Neo4j and LangChain. \nRik Van Bruggen\, VP EMEA for Hopsworks will illustrate how you can use graph embeddings in a broader Machine Learning system \nGraphs are great – and Rik would probably be the very last person to doubt that. As a native Antwerpian and a decade-long graph enthusiast\, Rik will show you how you can use the power of Neo4j together with the Hopsworks Machine Learning Operations (MLOps) platform to bring the power of the graph to life. After all\, it’s great to get graph insights\, but unless you fully operationalise them in a production system\, it does not provide the business value it deserves. \nQuinten Rosseel\, freelance Machine Learning Engineer\, is diving headfirst into the mashup of AI agents\, generative audio/video\, and healthcare know-how. \nQuinten will demonstrate Mina\, an LLM-powered Q&A chatbot built with Neo4j and LangChain\, that’s already answering medical questions via chat and voice for UZ Brussel. He’ll also dish on his work with Wobby.ai (AI agents) and Anam.ai (generative AI personas)\, and how melting today’s AI tech could lead to healthcare experiences sharp enough to make your doctor sweat. \nFor more info see here
URL:https://nljug.org/evenement/neo4j-meetup-from-knowledge-to-insights-with-neo4j-and-machine-learning/
CATEGORIES:Partner events
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DTSTART;TZID=Europe/Amsterdam:20241002T080000
DTEND;TZID=Europe/Amsterdam:20241106T170000
DTSTAMP:20260403T224406
CREATED:20241016T075713Z
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SUMMARY:Payara Hackathon – Generative AI on Jakarta EE 0 .
DESCRIPTION:Showcase your creativity\, technical skills\, and visionary ideas as you build the future of AI-powered enterprise applications. Sign up for free for the Payara Hackathon – Generative AI on Jakarta EE. Virtual Event: 2 October – 6 November 2024.\nThe Payara Hackathon is on! Make sure to sign up at the bottom of this page & then… get coding!\nHackathon AI lightbulb\nCreate an app (new or existing) using Generative AI on Jakarta EE for a chance to win £3\,000 in prize money for the winner\, with £2\,000 and £1\,000 prizes for runners up.\nWho said that enterprise Java is a thing of the past? We are challenging you to push the boundaries of enterprise Java development to create futureproof applications. This hackathon gives you the chance to create and showcase ground-breaking applications that harness the power of Generative AI within the Jakarta EE platform. Whether you’re passionate about AI or a driven Java developer\, this is your chance to innovate and help us showcase how Jakarta EE is a valuable solution for developing tomorrow’s apps.
URL:https://nljug.org/evenement/payara-hackathon-generative-ai-on-jakarta-ee-0/
CATEGORIES:Partner events
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DTSTART;TZID=Europe/Amsterdam:20241107T080000
DTEND;TZID=Europe/Amsterdam:20241107T170000
DTSTAMP:20260403T224406
CREATED:20240425T111405Z
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SUMMARY:J-Fall 2024
DESCRIPTION:
URL:https://nljug.org/evenement/j-fall-2024/
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