awesome-LLM-resourses
Summary of global language model resources
Product Details
awesome-LLM-resourses is a platform that aggregates global large language model (LLM) resources, providing a series of resources and tools from data acquisition, fine-tuning, reasoning, evaluation to practical applications. Its importance lies in providing researchers and developers with a comprehensive resource library so that they can develop and optimize their language models more efficiently. The platform is maintained by Wang Rongsheng and continuously updated, providing strong support for the development of the LLM field.
Main Features
How to Use
Target Users
The target audience is researchers in the field of natural language processing, machine learning engineers, data scientists, and developers interested in large language models. These resources can help them quickly obtain the required data, choose an appropriate fine-tuning framework, improve the model's inference efficiency, accurately evaluate model performance, and finally apply the model to real problems.
Examples
Researchers use AutoLabel tool to clean and enrich text datasets
Developers use the LLaMA-Factory framework to fine-tune models to fit specific tasks
Enterprises use the CompassArena platform to evaluate the performance of different language models and select the most suitable model to deploy to products.
Quick Access
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