Über uns
IBMs "The Journey to AI" is a group for Data Scientists, Developers, Data Analysts and Business people and everyone else who is interested in artificial intelligence, deep learning, machine learning and open source products.
Whether you're just getting started, or if you're looking to build models on enterprise scale datasets at serious scale, this is the group for you. Join in and collaborate with other like-minded people working with Machine Learning or Deep Learning.
Join our other Meetups:
Berlin Meetup - https://www.meetup.com/IBMPowerAIBerlin/
Hamburg Meetup - https://www.meetup.com/IBMPowerAIHamburg/
Munich Meetup - https://www.meetup.com/IBMPowerAIMunich/
Stuttgart Meetup - https://www.meetup.com/IBMPowerAIStuttgart/
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German below:
IBMs "The Journey to AI"ist ein Meetup für Data Scientists, Entwickler, Data Analysten, Digitalisierungsleiter und alle die sich für Artificial Intelligence, Deep Learning, Machine Learning und Open Source Lösungen interessieren.
Ganz gleich, ob Sie gerade erst anfangen, sich mit Deep Learning zu beschäftigen oder Modelle bereits trainieren. In dieser Gruppe möchten wir den Austausch unter Gleichgesinnten im Rahmen von Workshops, Seminaren und anderen Veranstaltungen schaffen. Treten Sie unserer Deep Learning Gruppe bei – jeder ist willkommen.
- English and German Meetup group -
Bevorstehende Events (4)
Alles ansehen- Netzwerkevent0 Teilnehmer von 2 veranstaltenden Gruppen[AI Alliance Materials] MatExpert, a generative AI agent for inorganic materialsLink für Teilnehmer sichtbar
External registration
https://44725920.hs-sites.com/ai-alliance-material-chemistry-webinar-51-0———
MatExpert: Decomposing Materials Discovery by Mimicking Human Experts
For accelerated inorganic materials design, a framework capable of AI-driven exploration of the vast materials spaces across the periodic table is required. In this talk, I will introduce MatAgent, a generative AI agent for inorganic materials design mimicking the reasoning process of human experts. It combines tool-assisted LLM-driven reasoning for material composition proposals with a generative model for crystal structure estimation and a predictive model for material property prediction, enabling feedback-driven targeted materials generation in an interpretable manner.Speaker
Qianggang Ding, currently completing my Ph.D. in Computer Science at the University of Montreal and Mila, with a focus on topics of AI for Science.Research publication
https://arxiv.org/abs/2410.21317About the AI Alliance
The 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. - Netzwerkevent247 Teilnehmer von 111 veranstaltenden Gruppen[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at ScaleLink für Teilnehmer sichtbar
Details
IBM recently released GneissWeb, a large dataset yielding around 10 trillion tokens that caters to the data quality and quantity requirements of training Large Language Models. In this talk i will do a deep dive on the philosophy behind this dataset, where it stands w.r.t the other datasets out there, how to recreate it based on the tools IBM has open sourced and some performance figures with it. This talk will be a followup of the talk given by Shahrokh Daijavad of IBM in the month of March.Prerequisites
This is a follow up to our March 6, 2025 session “Introducing GneissWeb - a state-of-the-art LLM pre-training dataset“:- Check the GitHub show notes
- Re-watch on YouTube
About the presenter
Bishwaranjan Bhattacharjee (LinkedIn), Senior Technical Staff Member and Master Inventor, IBM ResearchAbout the AI Alliance
The 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. - Netzwerkevent190 Teilnehmer von 111 veranstaltenden Gruppen[AI Alliance] Knowledge Graphs for Enterprise AILink für Teilnehmer sichtbar
Description
Proscenium is an emerging library of composable glue focused on enterprise AI applications. It prioritizes support for domains where the creation and use of structured data is critical. This talk will walk through the construction an application for the legal domain built with Proscenium that involves:- Document enrichment
- Entity resolution
- Knowledge Graph construction
- Query handling
- Chat integration
Finally, we'll cover the future roadmap and ways that you could contribute!
Speaker Bio
Adam Pingel (LinkedIn, GitHub) is IBM's Head of Open Tools and Applications for the AI Alliance. Adam has been fascinated by AI and chatbots since playing with Racter in the 80’s. But the “winters” were long and frequent. The stars aligned in 2015 when he became VPE at Ravel Law. Ravel was building AI-powered tools for the legal industry and was working with Harvard Law School on what is now known as the Caselaw Access Project. After an acquisition by LexisNexis in 2017, he moved his family to Raleigh (in 2019) to take the role of CTO of Global Platforms. In 2022 he joined IBM to work on domain-specific applications of generative AI. Adam holds an MS and BS in CS from UCLA and Stanford, respectively. When not at a keyboard, he enjoys spending time with his family.About the AI Alliance
The 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.
- Rock the Agents Meetup, an IBM TechXchange WorkshopOne, Frankfurt am Main
Rock the Agents Meetup – An IBM TechXchange Workshop
IBMs "The Journey to AI" is a group for Data Scientists, Developers, Data Analysts and Business people and everyone else who is interested in artificial intelligence, deep learning, machine learning and GenAI products.
Register for a deep dive into how enterprises are transitioning from traditional AI Assistants to fully autonomous, orchestrated workflows. We’ll explore key use cases, the latest low-code and custom AI frameworks like LangGraph, LangChain, Bee, and Crew.ai, and the growing importance of AgentOps—managing, monitoring, and scaling AI Agents in production.Join us and connect with like-minded professionals at the forefront of AI innovation! 🚀
Important – for registration purposes you need to register here to be able to attend:
https://www.ibm.com/events/reg/flow/ibm/8MOUXUMB/landing/page/landingAgenda
- 17:00 - 18:00 Enterprise Agents - Use Cases, Maturity Levels & AgentOps Platform (Speaker: Maximilian Burkardt)
- 18:00 - 21:00 Networking, Pizza & BeerLooking forward to see you!! Happy to meet you!
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Venue:
Tower One
Brüsseler Straße 1-3
60327 Frankfurt am MainPlease look for parking sports nearby or use public transport. The nearest park possibility is in the Skyline Plaza
Link to Google Maps
![[AI Alliance Materials] MatExpert, a generative AI agent for inorganic materials Titelbild](https://secure.meetupstatic.com/photos/event/4/3/a/4/event_527777316.webp "[AI Alliance Materials] MatExpert, a generative AI agent for inorganic materials")
![[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale Titelbild](https://secure.meetupstatic.com/photos/event/1/6/2/b/event_527645675.webp "[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale")
![[AI Alliance] Knowledge Graphs for Enterprise AI Titelbild](https://secure.meetupstatic.com/photos/event/c/c/4/5/event_527692293.webp "[AI Alliance] Knowledge Graphs for Enterprise AI")
Vergangene Events (35)
Alles ansehen- Netzwerkevent244 Teilnehmer von 109 veranstaltenden Gruppen[AI Alliance] Chat with your website using an LLMDieses Event ist verstrichen
