https://github.com/promptmixerdev/prompt-mixer-ai-ml-connector

This plugin for connect to AI/ML LLM models by API
https://github.com/promptmixerdev/prompt-mixer-ai-ml-connector

ai llmops llms ml promptmixer

Last synced: 11 days ago
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This plugin for connect to AI/ML LLM models by API

• Host: GitHub
• URL: https://github.com/promptmixerdev/prompt-mixer-ai-ml-connector
• Owner: PromptMixerDev
• Created: 2024-03-27T23:30:26.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-06-10T15:23:27.000Z (7 months ago)
• Last Synced: 2024-11-06T12:52:02.951Z (about 2 months ago)
• Topics: ai, llmops, llms, ml, promptmixer
• Language: JavaScript
• Size: 144 KB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# AI/ML Connector

This is a connector for a service that provides a unified API for accessing a variety of open-source AI/ML models.

## Features

- Access a wide range of AI/ML models through a single API

- Easily query models for tasks like text generation, image generation, classification, and more

- Customizable settings and parameters for fine-tuning model behavior

- Seamless integration with your application or platform

## Installation

To install the AI/ML Connector, follow these steps:

1. Sign up for an account on the [AI/ML service platform](https://www.aimlapi.com/).

2. Obtain an API key from the platform.

3. In Prompt Mixer navigate to the connector section.

4. Install the AI/ML Connector and enter your API key.

## Usage

Once the connector is installed, you can start using the AI/ML models through your application or platform's interface. Typical usage might include:

- Generating text based on a given prompt

- Classifying text or images into predefined categories

- Generating images from textual descriptions

- Performing sentiment analysis on text

- Extracting key information or entities from text

To get started, refer to the documentation provided by the AI/ML service platform. This will outline the available models, their capabilities, and the required input/output formats.

## Configuration

The AI/ML Connector allows you to customize the behavior of the models by adjusting various settings and parameters. These may include:

- Model selection

- Temperature, top-k, and other sampling parameters

- Input length, output length, and other constraints

Consult the connector's documentation for details on the available configuration options.

## Contributing

Contributions to the AI/ML Connector are welcome! If you encounter any issues or have ideas for improvements, please feel free to open a GitHub issue or submit a pull request.

## License

The AI/ML Connector is licensed under the [MIT License](LICENSE).