CogVLM & CogAgent
📗 [README in English](./README.md)
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📗 [README in English](./README.md)
📗 [中文版README](./README_zh.md)
CogVLM-SFT-311K is the primary aligned corpus used in the initial training of CogVLM v1.0. The process of constructing this dataset is as follows:
LOCAL_WORLD_SIZE=8
__pycache__
build:
*Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.*
.git
[*]
* text=auto
__pycache__
INHERIT: ./mkdocs.yml
We take the security of RAGAS seriously. If you discover a security vulnerability in this project, please report it to us privately. **Do not report security vulnerabilities through public GitHub issues, discussions, or pull requests.**
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This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
<img style="vertical-align:middle" height="200"
site_description: Evaluation framework for your AI Application
.DS_Store
repos:
mkdocs:
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
No description available.
test_resources
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