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The GöAID coffee is a meeting for AI Developers every first Tuesday of the month at 13:00 pm. We invite you to join a collaborative discourse centered around some of the most pioneering topics currently at the forefront of our field: MLOps, fine-tuning of deep learning models, training of foundation models, and parallelization techniques. No registration required!
The world of machine learning and deep learning is continually shaping and transforming. Keeping up to date and selecting the most suitable technologies is difficult. That’s why we want to offer a platform where developers and other interested parties can exchange ideas. Together, we can propel MLOps to its next stage, integrating and utilizing it to achieve higher efficiency and better outcomes.
Our discussion will touch upon the multifaceted area of MLOps, exploring ways to automate machine learning workflows, optimize resources, accelerate model deployment, and manage complex infrastructures efficiently.
Moreover, we can exchange insights on fine-tuning and training foundation models in deep learning on HPC systems. How can we train these models more effectively and efficiently? What are the best practices and novel techniques for managing large-scale models? How can we deploy models into production? How can parallelism be exploited? These critical questions need your expert attention and innovative solutions.
Our aim is not only to enrich our understanding but also to build lasting partnerships and collaborations between like-minded individuals. Each of you brings a unique perspective to the table, innovating and inspiring others through your research and technological advancements. Please join us in this journey of collaboration, learning, and innovation.
GöAID usually starts with a short presentation on a relevant topic by a community member. Please reach out to us if you would like to present, or if you have any further questions!
The meetings will take place on BigBlueButton. You are also invited to join our AI Community Matrix Channel. Furthermore, you can sign up for our mailing-list.
| Date | Presenter | Topic |
|---|---|---|
| 2024-05-07 | Ali Doosthosseini, Jakob Hördt | Introduction of GöAID and our Chat-AI service |
| 2024-06-04 | Jan Lenke | Retrieval-Augmented Generation (RAG) systems, introduction and demonstration |
| 2024-07-02 | Jakob Hördt | Mapping the LLM Ecosystem: Software, Models, Frameworks, APIs |
| 2024-08-06 | Karan Sharma | Transforming Machine Learning Workflows with ZenML |
| 2024-09-03 | Mohammad Hossein Biniaz | Introduction to LangChain |
| 2024-11-05 | Jakob Hördt | Hands-On: LLM explainability with Captum |
| 2024-12-03 | Peter Lohse | Writing good prompts and system prompts |
| 2025-01-07 | abgesagt | |
| 2025-02-04 | Jakob Hördt | Local AI inference with llama.cpp, whisper.cpp and llamafile |
| 2025-03-04 | Jakob Hördt, Jonathan Decker | Browsing the Web with LLMs |
| 2025-04-01 | Jakob Hördt | Enhanced LLM completions in the Zed editor with the Model Context Protocol (MCP) |
| 2025-05-06 | Hasan Marwan Mahmood Aldhahi | AI agents Frameworks |
| 2025-06-03 | Prof. Dr. Cornelius Puschmann | Automated Content Analysis with Klaus |
