Large Language Models and NLP

4 repos

This cluster covers the engineering and implementation of large language models (LLMs), natural language processing, and deep learning systems. The 20 Python repositories represent frameworks, fine-tuning tools, model implementations, and training pipelines for modern LLMs, with notable projects like Camel, LitGPT, and Baichuan models demonstrating practical approaches to model development and deployment. The cluster represents both the theoretical foundations and practical engineering required to build, train, and optimize language models for real-world applications.

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