AAIF Live

Building RedPajama // Vipul Ved Prakash // LLMs in Production Conference Part 2

Building open-source large language models requires adherence to four essential pillars: open weights, open licenses, open data, and open recipes. These components ensure transparency and allow the community to refine models for specific applications, fostering monotonic progress in AI. The RedPajama project demonstrat...

LLM-based Feature Extraction for Operational Optimization // Xin Lian // LLMs in Prod Con Part 2

Building Resilient Systems // Thibaut Labarre // MLOps Podcast #171 clip

MLOps LLM Stack Hackathon Winner // Travis Cline // LLMs in Production Conference Part 2

Fireside Chat - The Future of LLMs // David Hershey & Daniel Jeffries // LLMs in Prod Con Part 2

Preemption Chaos and Optimizing Server Startup // Bradley Heilbrun // LLMs in Prod Conference Part 2

Taming AI Product Development Through Test-driven Prompt Engineering // Maxime Beauchemin // LLMs 2

Using LLMs to Power Consumer Search at Scale // Aravind Srinivas // LLMs in Prod Conference Part 2

Enabling Defense Missions with Local LLMs // Gerred Dillon // LLMs in Production Conference Part 2

Considerations and Optimizations for Deploying Open Source LLMs at Your Company // Oscar Rovira //

LLM XGBoost - Can a Fine-Tuned LLM Beat XGBoost on Tabular Data? // Sebastian Cattes // LLMs Part 2

Using Large Language Models at AngelList // Thibaut Labarre // MLOps Podcast #171

Evolving AI Governance for an LLM World // Diego Oppenheimer // LLMs in Production Conference Part 2

MLOps vs LLMOps // Panel 4 // LLMs in Conference in Production Conference Part 2

LIMA: Less is More for Alignment // Chunting Zhou // LLMs in Production Conference Part 2

From an API to a Chat GPT Plugin // Mathieu Bastian // LLMs in Production Conference Part 2

All the Hard Stuff with LLMs in Product Development // Phillip Carter // MLOps Podcast #170

Everything We've Been Taught About ML is Wrong // Emmanuel Ameisen // LLMs in Prod Con Part 2

Ux of a LLM User // Panel 5 // LLMs in Production Conference Part 2

End-to-end Modern Machine Learning in Production // Omar Sanseviero // LLMs in Prod Con Part 2