General
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CogVLM & CogAgent
📗 [中文版README](./README_zh.md)
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CogVLM-SFT-311K: Bilingual Visual Instruction Data in CogVLM SFT
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:
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.hypothesis/
__pycache__
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SAT_HOME=~/.sat_models
LOCAL_WORLD_SIZE=8
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Configuration for Cog ⚙️
build:
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https://git-scm.com/docs/gitattributes
* text=auto
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The .dockerignore file excludes files from the container build process.
.git
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root = true
[*]
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Python
__pycache__
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🌋 LLaVA: Large Language and Vision Assistant
*Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.*
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Security Policy
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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site_name: Ragas
site_description: Evaluation framework for your AI Application
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This file inherits settings from mkdocs.yml but adds the PDF plugin.
INHERIT: ./mkdocs.yml
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<h1 align="center">
<img style="vertical-align:middle" height="200"
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Development Guide for Ragas Monorepo
This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.
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Code of Conduct
We are committed to providing a welcoming and inclusive environment for all people, regardless of age, body size, caste, disability, ethnicity, gender identity and expression, level of experience, family status, gender, immigration status, level of expertise, national origin, personal appearance, po
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CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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version: 2
mkdocs:
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Pre-commit configuration for entire ragas monorepo
repos:
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General
.DS_Store
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.gitattributes
No description available.
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Dockerfile
test_resources
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<p align="center">
<img src="https://github.com/confident-ai/deepeval/blob/main/docs/static/img/deepeval.png" alt="DeepEval Logo" width="100%">
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Apache License
Version 2.0, January 2004
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