Skip to content
#

high-quality-datasets

Star

Here is 1 public repository matching this topic...

ksm26 / Pretraining-LLMs

Star 3

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
  • Updated Aug 7, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the high-quality-datasets topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the high-quality-datasets topic, visit your repo's landing page and select "manage topics."

Learn more