BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//datacraft - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:datacraft
X-ORIGINAL-URL:https://datacraft.paris
X-WR-CALDESC:Events for datacraft
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20260218T183000
DTEND;TZID=Europe/Paris:20260218T210000
DTSTAMP:20260530T160937
CREATED:20251124T131636Z
LAST-MODIFIED:20260129T161454Z
UID:17633-1771439400-1771448400@datacraft.paris
SUMMARY:Neurons & Peppers #3
DESCRIPTION:Neurons & Peppers is THE state of the art AI research meetup in Paris! \nFor this 3rd edition\, we will dive into domain-specific modeling and RAG benchmarking ! \nThe LLM Pro Finance Suite: Multilingual Large Language Models for Financial Applications\nby Raheel Qader\, Head of R&D and Gaëtan Caillaut\, AI Researcher – DragonLLM. \nAbstract: The financial industry’s growing demand for advanced natural language processing (NLP) capabilities has highlighted the limitations of generalist large language models (LLMs) in handling domain-specific financial tasks. To address this gap\, we introduce the LLM Pro Finance Suite\, a collection of five instruction-tuned LLMs (ranging from 8B to 70B parameters) specifically designed for financial applications. Our approach focuses on enhancing generalist instruction-tuned models\, leveraging their existing strengths in instruction following\, reasoning\, and toxicity control\, while fine-tuning them on a curated\, high-quality financial corpus comprising over 50% finance-related data in English\, French\, and German […] \nCheck out the full paper on Arxiv\nCheck out the models on their HuggingFace collections:\n– LLM Open Finance  (open-source)\n– LLM Pro Finance\n \n\n​ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios ​\nby Quentin Macé et Antoine Edy\, data scientists – ILLUIN Technology. \n​Abstract: Retrieval-Augmented Generation (RAG) pipelines must address challenges beyond simple single-document retrieval\, such as interpreting visual elements (tables\, charts\, images)\, synthesizing information across documents\, and providing accurate source grounding. Existing benchmarks fail to capture this complexity\, often focusing on textual data\, single-document comprehension\, or evaluating retrieval and generation in isolation. We introduce ViDoRe v3\, a comprehensive multimodal RAG benchmark featuring multi-type queries over visually rich document corpora. It covers 10 datasets across diverse professional domains\, comprising ~26\,000 document pages paired with 3\,099 human-verified queries\, each available in 6 languages […] \n​Check out the full paper on Arxiv\nTest the benchmark yourself on their HuggingFace Space. \n\n​​Presentations (in english) will be followed by food & drinks 🌶️\n\nYou’re an AI researcher and want to take the stage to tell us about your latest paper ?👇\nFill out the form and let us know about your project !\n\n\n\nRegistration
URL:https://datacraft.paris/event/neurons-peppers-3/
LOCATION:Accuracy –\, 16 avenue Matignon\, Paris\, 75005\, France
CATEGORIES:in English,on-site event
END:VEVENT
END:VCALENDAR