Find agent skills by outcome

FAQ

4.31.0 버전을 사용하는 것을 선호합니다.

FAQ

4.31.0 が望ましいです。

qwen web demo

docker build -t qwen-vl-chat:webdemo --platform linux/amd64 -f Dockerfile.qwendemo .

pycache

*.so

Untitled Skill

[flake8]

ignore = E501, F403, C901, W504, W605, E251, E122, E126, E127, E722, W503, E128, E741, E731, E701

🛠️ Installation

- Clone this repository:

Byte-compiled / optimized / DLL files

pycache/

exclude: ^internvlchatllava/

repos:

Untitled Skill

CogVLM & CogAgent

📗 中文版README

CogVLM-SFT-311K：CogVLM SFT 中的双语视觉指令数据集

CogVLM-SFT-311K 是我们在训练 CogVLM v1.0 最初版本时使用的主要对齐语料库。此数据集的构建过程如下：

CogVLM & CogAgent

📗 README in English

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:

.hypothesis/

pycache

SATHOME=~/.satmodels

LOCALWORLDSIZE=8

Configuration for Cog ⚙️

build:

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

* text=auto

Python

pycache

root = true

[*]

🌋 LLaVA: Large Language and Vision Assistant

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

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

.git

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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