https://github.com/pushpankar/LLMCurator.io

LLM frontend and data curation tool.
https://github.com/pushpankar/LLMCurator.io

Last synced: 3 days ago
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LLM frontend and data curation tool.

• Host: GitHub
• URL: https://github.com/pushpankar/LLMCurator.io
• Owner: pushpankar
• Created: 2023-06-08T19:11:33.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-03-05T12:40:13.000Z (10 months ago)
• Last Synced: 2024-03-05T13:53:51.575Z (10 months ago)
• Language: JavaScript
• Homepage:
• Size: 322 KB
• Stars: 3
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome_ai_agents - Llmcurator.Io - LLM frontend and data curation tool. (Building / Tools)
• awesome_ai_agents - Llmcurator.Io - LLM frontend and data curation tool. (Building / Tools)

README

        
LLMCurator is a web based tool to interact with Large language model and curate training data for it.

![Demo](./docs/demo.png)

## Key features

1. Interact with LLM- LLMCurator acts a user friendly frontend to interact with large language models. Very useful during model development.

2. Annotate data- LLMCurator turns into an annotation tool to curate training data for LLMs in just few clicks.

3. Easy to setup- The tool has been dockerized so that it can be setup in just few of commands.

## Setup

1. Install docker and docker-compose

2. Download LLMCurator

```

git clone https://github.com/pushpankar/LLMCurator.io.git

```

3. Start LLMCurator

``` 

docker-compose up

```

## Configuration

#### Host on specific port

To run the app on specific port, update the port mapping in docker-compose.yml. For example, to run the app on port 4456 update the port mapping to 

```

ports:

  - 4456:3000

```