Machine Learning / AI Tracks Overview
Open Source continues to play a pivotal role in the field of machine learning and in the development and advancement of artificial intelligence (AI).
Collaboration, accessibility, transparency and the ability to rapidly innovate are only increasing in importance, and we feel the talks featured this year really highlight it.
Check out the talks and speakers to be featured below, and plan now to see them live and in person in Raleigh in October!
*Note, there will be two (2) tracks of ML/AI content featured on Monday, October 28 (Ballroom C on the 4th floor and room 301A on the 3rd floor) and a single track of content on Tuesday, October 29 (Ballroom C).
Special thanks to the wonderful team at Google for making the Machine Learning/AI 1 track possible.
Special thanks to the wonderful team at Arm for making the Machine Learning/AI 2 track possible.
Monday, October 28
Machine Learning/AI 1 | Ballroom C
Advanced Retrieval Augmented Generation (RAG) Techniques
Timothy Spann, Principal Developer Advocate, Zilliz
10 Lessons from Building AI-Powered Features
Dalia Abo Sheasha, Senior Product Manager, Microsoft
Accelerating the next generation of multimedia with GPUs
Joshua Alphonse, Staff Developer Advocate, ByteDance
LangChain Legends: Building LLM powered Applications
Rishab Kumar, Staff Developer Evangelist, Twilio
Machine Learning/AI 2 | Room 301A
A Tour of the AI Open Source Project Landscape Featuring InstructLab
Brad Topol, DE and Director of Open Technologies, IBM
Build your own CoPilot
Callum Whyte, Technical Director, Bump Digital
Democratizing AI Model training: GPU agnostic Deep Learning techniques with PyTorch
Sahdev Zala, Senior Technical Staff Member, IBM
Welcome to the Machine
Justin Rackliffe, VP, Engineering Excellence, Fidelity Investments
Crash Course in Open Source GenAI
Mark Hinkle, CEO and Co-Founder, Peripety Labs
End-to-end secure ML development
Mihai Maruseac, Staff SWE, Google
Tuesday, October 29
A deep dive into vector search technology and tools
Olena Kutsenko, Sr. Developer Advocate, Aiven
To rewrite or not to rewrite: an OSS community journey in the LLMiverse
Tilde Thurium, Senior Developer Advocate, deepset.ai
Training and Serving LLM’s on Kubernetes: A beginner’s guide.
Daryl Ducharme, Cloud Developer Advocate, Google Cloud
Enforcing Trustworthy AI Standards & Best Practices in Analytical Projects
Sophia Rowland, Senior Product Manager, SAS