60+ Sessions on How to Optimize ML and GenAI into Production
Discover the BEST methods for building AI/Gen AI systems - for all size teams.
You’ll meet 300+ videos sharing exclusive insights
Enter Your Email Address and Get Immediate Access to All Past Videos
Your information is 100% safe. We never share your information with anyone. By clicking “submit. i agree to recieve auto and pre-made emails at the e-mail provided. I understand that my consent is not a condition to purchase anythign
These Are the Learnings from ML Leaders To Help Practitioners Effectively Scale
See our upcoming conference line-up
Renaissance Austin Hotel, Marriot 9721 Arboretum Blvd,
Austin, TX 78759, United States
Thursday, November 7th, 2024 - 9:00 AM to 5:00 PM
Friday November, 8th, 2024 -9:00 AM to 6:00 PM MDT
Evaluation Techniques for Large Language Models Tutorial
Rajiv Shah, Machine Learning Engineer at Hugging Face covers several techniques, & evaluation suites.
Is It Too Much To Ask For A Stable Baseline?
Evaluation and monitoring are the heart of any reliable MLSystem. But finding a stable reference point, a reliable comparison baseline, or even a decent performance metric can be surprisingly difficult
From Model T to Machine Learning: A Glimpse into Ford's MLOps and Hybrid Infrastructure Strategy
Naiel Samaan, Valmir Bucaj, AI Platform Owners, Ford cover their product strategy around customer persona, technical stack, buy vs. build, on-prem vs. cloud & more.
BloombergGPT: How we built a 50 billion parameter financial language model
David Rosenberg, Head of ML Strategy, Bloomberg shared their experience and lessons learned when designing and training a domain-specific LLM
Building LLM Applications, MLOps Techniques, Production Engineering
Charles show us how building an actually good LLM application is not plug-and-play, but it is possible.
Your AI Applications Need Guardrails: Here's How To Build Them
Shreya Rajpal, Founder, Guardrails AI covers specific techniques and advanced control mechanisms to enhance the safety and efficiency of LLMs.