https://github.com/pushpankar/LLMCurator.io
LLM frontend and data curation tool.
https://github.com/pushpankar/LLMCurator.io
Last synced: 3 months ago
JSON representation
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 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-05T12:40:13.000Z (over 1 year ago)
- Last Synced: 2025-01-06T00:36:06.423Z (11 months ago)
- Language: JavaScript
- Homepage:
- Size: 322 KB
- Stars: 6
- 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)
README
LLMCurator is a web based tool to interact with Large language model and curate training data for it.
## 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
```