From Research to Production: Fine-Tuning & Aligning LLMs // Philipp Schmid // AI in Production

// Abstract
Discover the essential steps in transitioning LLMs from research to production, with a focus on effective fine-tuning and alignment strategies. This session delves into how to fine-tune & evaluate LLMs with Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF)/Direct Preference Optimization (DPO), and their practical applications for aligning LLMs with production goals.

// Bio
Philipp Schmid is a Technical Lead at Hugging Face with the mission to democratize good machine learning through open source and open science. Philipp is passionate about productionizing cutting-edge & generative AI machine learning models.

// Sign up for our Newsletter to never miss an event:

// Watch all the conference videos here:

// Read our blog:

// Join an in-person local meetup near you:

// MLOps Swag/Merch:

// Follow us on Twitter:

//Follow us on Linkedin:

#airesearch #production #llm #finetuning #deeplearning