Find agent skills by outcome

qwen web demo

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

pycache

*.so

Untitled Skill

exclude: ^internvlchatllava/

repos:

🛠️ Installation

- Clone this repository:

Untitled Skill

[flake8]

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

Byte-compiled / optimized / DLL files

pycache/

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

📗 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

.hypothesis/

pycache

SATHOME=~/.satmodels

LOCALWORLDSIZE=8

Configuration for Cog ⚙️

build:

Python

pycache

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

* text=auto

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

.git

root = true

[*]

🌋 LLaVA: Large Language and Vision Assistant

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

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

INHERIT: ./mkdocs.yml

Untitled Skill

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

site_name: Ragas

site_description: Evaluation framework for your AI Application

Code of Conduct

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