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Austin TX
nov 7-8
VIDEO CATALOGUE
We recommend you use a desktop for the Airtable video catalogue below
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.