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DTSTART;TZID=Europe/Paris:20250205T193000
DTEND;TZID=Europe/Paris:20250205T213000
DTSTAMP:20260613T045214
CREATED:20250130T085350Z
LAST-MODIFIED:20250130T090108Z
UID:14069-1738783800-1738791000@datacraft.paris
SUMMARY:Open and Trusted AI: What Do We Need to Make it Real?
DESCRIPTION:Click here to register to this networking event hosted in Meta’s Paris office: luma event \n​About the Open Trusted Data Initiative (OTDI)\nJoin The AI Alliance\, Open Trusted Data Initiative (OTDI)\, where our mission is to create a comprehensive\, widely-sourced catalog of datasets with clear licenses for use\, explicit provenance guarantees\, and governed transformations\, intended for AI model training\, tuning\, and application patterns like RAG (retrieval augmented generation) and agents. In our context trusted data means the provenance and governance of the dataset is clear and unambiguous. The metadata about the dataset provides clarity about its intended purposes\, safety\, and other considerations\, along with any filtering and other processing steps that were done on the dataset.\n​About the AI Alliance\nThe AI Alliance is an international community of researchers\, developers and organizational leaders committed to support and enhance open innovation across the AI technology landscape to accelerate progress\, improve safety\, security and trust in AI\, and maximize benefits to people and society everywhere. Members of the AI Alliance believe that open innovation is essential to develop and achieve safe and responsible AI that benefit society rather than benefit a select few big players.
URL:https://datacraft.paris/event/open-and-trusted-ai-what-do-we-need-to-make-it-real/
LOCATION:Meta –\, 6 rue Ménars\, Paris\, 75002\, France
CATEGORIES:in English,on-site event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250204T080000
DTEND;TZID=Europe/Paris:20250205T200000
DTSTAMP:20260613T045214
CREATED:20250128T132623Z
LAST-MODIFIED:20250128T133149Z
UID:14012-1738656000-1738785600@datacraft.paris
SUMMARY:GeoAI Hack
DESCRIPTION:Take part in the GeoAI Hack challenge on 4 and 5 February\, co-organised by datacraft and InstaDeep as part of the AI Convergence Challenge at the AI Action Summit. 🚀 \nThe challenge will take place at Agence Française du Développement\, 3\, Place Louis Armand – Paris 75012. \nThis will be an opportunity to work with satellite images to address issues such as detecting the location of desert locust nesting sites in Africa\, mapping flood damage\, etc. \nSkills that are good to have to participate: data science\, computer vision\, geospatial machine learning // web development to build a demonstrator // knowledge on food security issues and natural disasters in Africa is a big plus 🌍✨ \n🌟 The winning team will be presented in the official programme of the AI Action Summit on 10 February at the Grand Palais. \nVisit our site: https://geoaihack.com/
URL:https://datacraft.paris/event/geo-ai-hack/
LOCATION:Agence Française du Développement –\, 3 Place Louis Armand\, Paris\, 75012\, France
CATEGORIES:in English,on-site event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20250115T183000
DTEND;TZID=Europe/Paris:20250115T193000
DTSTAMP:20260613T045214
CREATED:20241022T143320Z
LAST-MODIFIED:20250108T162547Z
UID:13258-1736965800-1736969400@datacraft.paris
SUMMARY:REX: How to monitor GenAI tools in production
DESCRIPTION:2411-phospho-Observability\n            \n\n                \n\n\n                \n                \n                    Inscription\n                \n            \n             \nDiscover through real use cases the best practices to monitor LLM apps in production.
URL:https://datacraft.paris/event/rex-how-to-monitor-genai-tools-in-production/
LOCATION:Le Village By CA –\, 55 rue la Boétie\, 75008 Paris\, 75008\, France
CATEGORIES:Hybrid event,in English
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241210T140000
DTEND;TZID=Europe/Paris:20241210T180000
DTSTAMP:20260613T045214
CREATED:20240910T081234Z
LAST-MODIFIED:20241204T141636Z
UID:12756-1733839200-1733853600@datacraft.paris
SUMMARY:Get insights from LLM chat data and monitor semantic drift
DESCRIPTION:2406-Bunka-Bunka \n            \n\n                \n\n\n                \n                \n                    Inscription\n                \n            \n             \nDescription \n\nIn the rapidly growing landscape of ChatGPT-like applications\, Retrieval-Augmented Generation (RAG) solutions are gaining significant traction. However\, analyzing the user-generated data from these applications to extract meaningful insights and adapt to emerging trends is a complex challenge. \nThis workshop introduces Bunka\, an open-source library designed for intuitive exploration and visualization of unstructured datasets. Using Bunka\, participants will explore embeddings in simplified projections\, empowering them to uncover hidden patterns and track semantic drift effectively. \nWe will work with a unique\, anonymized dataset of recently leaked chat channels from Andrew Tate’s private community\, tackling real-world challenges to extract actionable insights. The session will focus on techniques to:• Analyze user behavior and emerging trends in chat data.• Monitor semantic drift and its impact on application performance.• Adaptively predict and respond to new themes and trends. \nBy the end of this hands-on workshop\, you’ll gain practical experience with embedding-based analysis and actionable insights into leveraging semantic monitoring to enhance your LLM-driven applications. \n\nJoin us by registering now !
URL:https://datacraft.paris/event/exploring-filtering-datasets-for-llm-fine-tuning/
LOCATION:datacraft –\, 3 rue Rossini\, 75009 Paris\, France
CATEGORIES:Hybrid event,in English
ORGANIZER;CN="datacraft":MAILTO:contact@datacraft.paris
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241204T090000
DTEND;TZID=Europe/Paris:20241204T180000
DTSTAMP:20260613T045214
CREATED:20241008T132124Z
LAST-MODIFIED:20241104T143320Z
UID:12994-1733302800-1733335200@datacraft.paris
SUMMARY:Unlocking Vector Databases : Search and RAG with Vespa
DESCRIPTION:Inscription\n                \n            \n            \n2412-Vespa-VectorSearch \nIn this workshop\, we will dive in Vector Databases using Vespa\, an open-source search engine and vector/tensor DB used in various major projects such as Spotify or Vinted recommandation system. The objective is to give participants tools to work on various use-cases form E-commerce search to recommendations and RAG. \nThe workshop is made of 6 main chapters : \n\nIntroduction: 10km view of the use-cases and anti-use-cases for Vespa and why. Lab will be centered around CRUD\nLexical Search: query syntax\, boolean clauses\, ranking for product search\nGrouping: facets for data exploration on sales data and result diversification\nTensors: use tensor math for recommendations and vector search on an E-commerce dataset\nHybrid Search: generate embeddings on the fly; use RRF; implement RAG\nPerformance and scaling: intro to how Vespa scales; typical performance bottlenecks\n\nEach chapter is composed of : \n\n a short introduction to the topic\na lab that will be solved in small groups\, working on a pre-defined dataset\na debriefing with the large group\nshort wrap-up\n\nWarning : Even though online attendance is opened for this event\, we highly encourage participants to attend on site to get the most out of this event (participants will form groups and work together during the workshop).
URL:https://datacraft.paris/event/unlocking-vector-databases-search-and-rag-with-vespa/
LOCATION:datacraft –\, 3 rue Rossini\, 75009 Paris\, France
CATEGORIES:Hybrid event,in English
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20241115T150000
DTEND;TZID=Europe/Paris:20241115T170000
DTSTAMP:20260613T045214
CREATED:20241016T152153Z
LAST-MODIFIED:20241016T170520Z
UID:13195-1731682800-1731690000@datacraft.paris
SUMMARY:Responsible Prompting – Real-Time Prompt Recommendation
DESCRIPTION:2411-IBM-ResponsiblePrompting\n            \n\n                \n\n\n                \n                \n                    Inscription\n                \n            \n             \n\nJoin us for a demo and a hands-on exercise with this open-source tool called Responsible Prompting\, developed by the Responsible Tech Team\, IBM Research. This tool supports your LLM users in crafting more responsible prompts by recommending good practices and preventing harmful prompts by leveraging the semantics mapping provided by sentence transformers. The recommendations are provided in prompting-time\, i.e.\, before users send the prompt to an LLM. Hence\, for many tasks\, it has the potential to speed up prompting tasks\, improve the quality of prompts\, and even reduce costs. The tool was designed to be easy to customize to different business cases. And it’s even possible go even further by fine-tuning the backbone sentence transformers models.We will go through the following steps:\n– Quick demo of the tool (10 min)\n– Deep dive into the project history and underlying model (sentence transformers) (20 min)\n– Discussion on how it can help businesses (esp. big companies) support their users and diminish the misuses of these technologies. (10 min)\n– Conclusion\, question and discussion with the attendees (10-20 min)(optional) Bonus: a hands-on exercise for customizing the tool (60 minutes).\nThis event will be in English and in hybrid format.
URL:https://datacraft.paris/event/responsible-prompting-real-time-prompt-recommendation/
LOCATION:datacraft –\, 3 rue Rossini\, 75009 Paris\, France
CATEGORIES:Hybrid event,in English
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