Master the essential steps of pretraining large language models (LLMs). Learn to create high-quality datasets, configure model architectures, execute training runs, and assess model performance for efficient and effective LLM pretraining.
machine-learning text-generation data-preparation performance-assessment developer-advocacy ai-training hugging-face large-language-models llm-evaluation model-configuration meta-llama pretraining-llms training-runs high-quality-datasets model-initialization depth-upscaling cost-effective-pretraining
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Updated
Aug 7, 2024 - Jupyter Notebook