What we’re about
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/
Frankfurt Meetup - https://www.meetup.com/IBMPowerAIFrankfurt/
Stuttgart Meetup - https://www.meetup.com/IBMPowerAIStuttgart/
Subscribe for our PowerAI Community Newsletter - http://poweraicommunity.com/
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 -
Upcoming events (3)
See all- Network event225 attendees from 110 groups hosting[AI Alliance] Chat with your website using an LLMLink visible for attendees
Abstract
Imagine being able to ask questions about a website in natural language—and receiving meaningful answers instead of simple keyword matches. In this talk, I’ll introduce Allycat, an open-source, end-to-end stack that enables conversational interaction with website content using Large Language Models (LLMs).We’ll walk through the complete pipeline:
- Crawling and indexing website content
- Cleaning and extracting meaningful information from HTML
- Creating embeddings and storing them in a vector database
- Querying the data using an LLM for contextual, accurate responses
We’ll also demonstrate Allycat’s lightweight UI that allows users to interactively test their queries. The entire stack is built with Python and open-source components, making it easy to adopt, adapt, and extend.
You can checkout Allycat here : https://github.com/The-AI-Alliance/allycat
Audience
AI/ML Engineers, Data Engineers, Data Scientists interested in building intelligent, LLM-powered search and chatbot interfaces.Level
Beginner to IntermediateFormat
45-minute presentation with demonstrationAbout the speaker
Sujee Maniyam (AI Engineer, Developer Advocate @ Node51) is an expert in Generative AI, Machine Learning, Deep Learning, Big Data, Distributed Systems, and Cloud technologies. He is passionate about developer education, fostering community engagement. Sujee has led numerous training sessions, hackathons, and workshops. He is also an author, open source contributor and frequent speaker at conferences and meetups.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. - Network event182 attendees from 111 groups hosting[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at ScaleLink visible for attendees
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. - Network event1 attendee from 111 groups hosting[AI Alliance] Knowledge Graphs for Enterprise AILink visible for attendees
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.
![[AI Alliance] Chat with your website using an LLM cover photo](https://secure.meetupstatic.com/photos/event/a/0/6/0/event_527561056.webp "[AI Alliance] Chat with your website using an LLM")
![[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale cover photo](https://secure.meetupstatic.com/photos/event/1/6/3/5/event_527645685.webp "[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at Scale")
![[AI Alliance] Knowledge Graphs for Enterprise AI cover photo](https://secure.meetupstatic.com/photos/event/c/c/6/8/event_527692328.webp "[AI Alliance] Knowledge Graphs for Enterprise AI")
Past events (28)
See all- Network event251 attendees from 109 groups hosting[AI Alliance] Introducing gofannonThis event has passed
