Finetuning a Large Language Model on a Custom Dataset

Finetuning a Large Language Model on a Custom Dataset

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.