LLM Classifier (Go)

Introduction

This project is inspired by lamini-ai/llm-classifier. I wanted an LLM-classifier with a similar interface and larger support for LLMs in Go.

This is a reusable Go-based LLM Classifier module designed to perform classification tasks using large language models (LLMs). The module is lightweight, highly efficient, and can be easily integrated into any Go-based application.

I forsee uses for this in cases where training an ML model for classification is not possible because of lack of data, expertise, costs, or no resources. Good for general-purpose and ambiguous classification tasks where training data is unavailable. Prompts in, structured data out.

NOTE: This project is work-in-progress and is under active development.

Features

1. LLM Integration: Supports the use of various large language models.
2. Reusable and Modular: Can be easily plugged into any Go application with minimal configuration.
3. Customizable: Supports customization of classification models to do specific tasks.
4. Scalable: Designed to handle both small and large datasets with high throughput.
5. Natural Language Training: Train your classifier with natural language prompts which is useful incase training data is unavailable or complex human reasoning is required for classification.

Examples

The examples are given within examples/. If you want to run a particular example, uncomment it in main.go and run the example using:

go run main.go

Run Tests

The ... means go will include all subdirectories when checking the tests.

go test ./...

Contribution

Contributors are welcome. Reach out to me at my work email. Alternatively, feel free to fork the repo, make your changes and submit a PR.