huggingface/large_language_model_training_playbook
An open collection of implementation tips, tricks and resources for training large language models
This playbook provides practical advice and resources for anyone involved in building or improving large language models. It helps you navigate the complexities of model design, training parameters, and performance optimization. You'll find guidance on everything from choosing the right model architecture and size to managing data processing and debugging issues, enabling you to successfully train and deploy powerful language models.
497 stars. No commits in the last 6 months.
Use this if you are an AI researcher, machine learning engineer, or data scientist working on developing or fine-tuning large language models and need concrete, actionable strategies.
Not ideal if you are looking for a high-level overview of what LLMs are or how to use pre-trained models without needing to train your own.
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497
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Language
Python
License
Apache-2.0
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Last pushed
Mar 08, 2023
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