YoVDO

Finetuning a Large Language Model on a Custom Dataset

Offered By: MLOps World: Machine Learning in Production via YouTube

Tags

Fine-Tuning Courses Machine Learning Courses Deep Learning Courses MLOps Courses Transformer Models Courses Parameter-Efficient Fine-Tuning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to finetune large language models using custom datasets in this 59-minute workshop from MLOps World: Machine Learning in Production. Explore parameter efficient finetuning techniques, optimized inference methods, and strategies for scaling model finetuning. Gain hands-on experience with practical approaches for adapting very large models to specific tasks and domains. Discover key optimizations and tricks that enable efficient finetuning of massive language models, guided by Aniket Maurya, Developer Advocate at Lightning AI.

Syllabus

Finetuning a Large Language Model on a Custom Dataset


Taught by

MLOps World: Machine Learning in Production

Related Courses

Generative AI Engineering and Fine-Tuning Transformers
IBM via Coursera
Lessons From Fine-Tuning Llama-2
Anyscale via YouTube
The Next Million AI Apps - Developing Custom Models for Specialized Tasks
MLOps.community via YouTube
LLM Fine-Tuning - Explained
CodeEmporium via YouTube
Fine-tuning Large Models on Local Hardware Using PEFT and Quantization
EuroPython Conference via YouTube