End-to-end Modern Machine Learning in Production - Part 2
Offered By: MLOps.community via YouTube
Course Description
Overview
Explore the cutting-edge techniques behind successful machine learning models like ChatGPT in this concise conference talk. Delve into Reinforcement Learning from Human Feedback (RLHF) and discover efficient training methods such as Parameter-Efficient Fine-Tuning (PEFT). Learn about on-device machine learning and various optimizations to enhance ML model performance. Led by Omar Sanseviero, a lead machine learning engineer at Hugging Face, this presentation offers valuable insights into modern ML practices in production environments. Gain knowledge from Sanseviero's extensive experience working on diverse ML projects, including ML for Art, Developer Advocacy Engineering, ML Partnerships, Mobile ML, and ML for Healthcare.
Syllabus
End-to-end Modern Machine Learning in Production // Omar Sanseviero // LLMs in Prod Con Part 2
Taught by
MLOps.community
Related Courses
Large Language Models: Foundation Models from the Ground UpDatabricks via edX Fine-Tuning LLMs with PEFT and LoRA
Sam Witteveen via YouTube Pre-training and Fine-tuning of Code Generation Models
CNCF [Cloud Native Computing Foundation] via YouTube MLOps: Fine-tuning Mistral 7B with PEFT, QLora, and MLFlow
The Machine Learning Engineer via YouTube MLOps MLflow: Fine-Tuning Mistral 7B con PEFT y QLora - EspaƱol
The Machine Learning Engineer via YouTube