What we’re about
Welcome to the IBM Developer meetup! From developers for developers.
We host free, hands-on sessions and workshops on a range of topics:
- Cloud Native Development and Containers
- Serverless
- Artificial Intelligence and Machine Learning
- Data Science
We've got a team of Developer Advocates in Germany, Austria, and Switzerland.
Upcoming events (3)
See all- Network event87 attendees from 109 groups hosting[AI Alliance Materials] Discrete State-Space Diffusion and Flow ModelsLink visible for attendees
External registration
https://44725920.hs-sites.com/ai-alliance-material-chemistry-webinar-5-15Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
Many scientific tasks, such as protein engineering and small-molecule drug discovery, can be formulated as conditional generation problems over discrete spaces. This talk introduces a new approach that enables tractable classifier and classifier-free guidance on discrete state-space diffusion and flow models. I will demonstrate how this method can be applied for conditional generation tasks in protein sequence, small-molecule graph, and DNA sequence design.Speaker
Hunter Nisanoff recently graduated from his PhD in Computational Biology from UC Berkeley where he was advised by Professor Jennifer Listgarten. His research focuses on machine learning methods for protein engineering. Prior to his PhD, Hunter worked at D. E. Shaw Research developing machine learning and simulation-based methods for small-molecule drug discovery.Research publication
https://arxiv.org/abs/2406.01572About 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 event135 attendees from 111 groups hosting[AI Alliance] Model and Agent Evaluation with UnitxtLink visible for attendees
Description
Evaluating the performance of language models and AI agents can be challenging, especially across diverse tasks and domains. In this session, we'll introduce Unitxt, an open-source framework for unified text evaluation, and explore how it simplifies the process of benchmarking LLMs and agents using a standardized format.We'll walk through the core ideas behind LLM evaluation—what to measure, how to measure it, and why it matters—and then dive into hands-on examples of evaluating LLMs for quality, reliability, safety and more, as well as evaluating multi-modalities and agentic tool invocation.
Whether you're just getting started with evaluation or looking for a powerful and flexible tool to streamline your workflows, this session will offer practical insights and code-based demos to help you get up and running.Bring your questions, ideas, or examples—we’ll have time for discussion and Q&A at the end!
Speaker Bio
Elron Bandel (LinkedIn) works to redefine how language models are tested and used at scale. At IBM Research, he leads projects that enhance researchers' abilities to test and utilize language models at transformative scales. Elron co-authored IBM's standard evaluation platform for large language models and spearheads the development of Unitxt, an open-source Python library for AI performance assessment. His academic record supervised by Prof. Yoav Goldberg included work on developing AlephBERT and its innovative evaluation suite, and research into robust language model testing.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 event227 attendees 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 Materials] Discrete State-Space Diffusion and Flow Models cover photo](https://secure.meetupstatic.com/photos/event/5/e/7/3/event_527784179.webp "[AI Alliance Materials] Discrete State-Space Diffusion and Flow Models")
![[AI Alliance] Model and Agent Evaluation with Unitxt cover photo](https://secure.meetupstatic.com/photos/event/e/5/2/d/event_527818669.webp "[AI Alliance] Model and Agent Evaluation with Unitxt")
![[AI Alliance] Knowledge Graphs for Enterprise AI cover photo](https://secure.meetupstatic.com/photos/event/c/c/6/6/event_527692326.webp "[AI Alliance] Knowledge Graphs for Enterprise AI")
Past events (248)
See all- Network event322 attendees from 110 groups hosting[AI Alliance] GneissWeb: Preparing High Quality Data for LLMs at ScaleThis event has passed
