Overview
Learn how to select optimal datasets for fine-tuning Large Language Models (LLMs) like MPT-30B-Chat in this 17-minute video tutorial. Explore Huggingface's extensive collection of datasets, understand their structure and content, and discover the evaluation process for choosing the most suitable data for pre-training AI models. Master the techniques for assessing dataset licenses, versions, and file formats while gaining practical insights into creating custom datasets for specific LLM fine-tuning tasks. Navigate through key concepts including Apache License considerations, stack datasets, and proper dataset documentation to enhance your AI model development capabilities.
Syllabus
Introduction
MPT30B
Apache License
Data Sets
Stack
Datasets
Licenses
License
Files Version
Summary
Taught by
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