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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:

CogVLM & CogAgent

📗 README in English

CogVLM & CogAgent

📗 中文版README

SATHOME=~/.satmodels

LOCALWORLDSIZE=8

.hypothesis/

pycache

Configuration for Cog ⚙️

build:

https://git-scm.com/docs/gitattributes

* text=auto

🌋 LLaVA: Large Language and Vision Assistant

Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.

root = true

[*]

The .dockerignore file excludes files from the container build process.

.git

Python

pycache

site_name: Ragas

site_description: Evaluation framework for your AI Application

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...

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, fam...

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<img style="vertical-align:middle" height="200"

Development Guide for Ragas Monorepo

This comprehensive guide covers development workflows for the Ragas monorepo, designed for both human developers and AI agents.

This file inherits settings from mkdocs.yml but adds the PDF plugin.

INHERIT: ./mkdocs.yml

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

version: 2

mkdocs:

General

.DS_Store

.gitattributes

No description available.

Pre-commit configuration for entire ragas monorepo

repos:

Dockerfile

test_resources

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