Machine Learning/AI 1 Track Recordings Now Live!
We’re thrilled to announce recordings are now live for the Machine Learning/AI 1 track.
Recording links are included below. Click and watch again, or perhaps for the first time!
Machine Learning/AI 1
Deep Dive Into Vector Search Technology and Tools
Olena Kutsenko, Sr. Developer Advocate, Aiven
Training and Serving LLMs on Kubernetes: A Beginner’s Guide
Abdel Sghiouar, Cloud Developer Advocate, Google Cloud
10 Lessons from Building AI-Powered Features
Dalia Abo Sheasha, Senior Product Manager, Microsoft
Simplifying Generative AI App Development: Why Standards Matter
Shirley Bailes, Director of Open Ecosystem Developer Relations & Community & Katherine Druckman, Open Source Security Evangelist, Intel
Enforcing Trustworthy AI Standards and Best Practices in Analytical Projects
Sophia Rowland, Senior Product Manager, SAS
LangChain Legends_Building LLM powered Applications
Rishab Kumar, Staff Developer Evangelist, Twilio
Open Source AI Definition Stable Release
Stefano Maffuli, Executive Director, Open Source Initiative; Mer Joyce, Founder, Do Big Good LLC; Nick Vidal, Community Manager, Open Source Initiative; Carlo Piana, Chair of the Board, Open Source Initiative
Advanced Retrieval Augmented Generation (RAG) Techniques
Timothy Spann, Principal Developer Advocate, Zilliz
Accelerating the next generation of multimedia with GPUs
Joshua Alphonse, Staff Developer Advocate, ByteDance
From Retrieval to Real Time Action: RAG, ReAct, and Flow Orchestrator in Building Smarter AI Bots
Aria Chang, Software Engineer, Microsoft
Applying Open Source Methods to Building and Training Large Language Models
Carol Chen, Principal AI Community Architect, Red Hat & JJ Asghar, Developer Advocate, IBM
Building Open Source AI featuring Granite, Continue and Ollama: A panel discussion moderated by Changelog
Michael Chiang, Co-founder, Ollama; Ty Dunn, Co-founder, Continue; Gabe Goodhart, Software Developer, IBM; Jerod Santo, Changelog