Overview

This directory contains practical examples demonstrating various use cases of the distil labs platform. Each example is contained in its own directory with complete code and documentation. To see more examples visit our examples GitHub repository

RAG model: training and deployment

This example demonstrates how to fine-tune a small language model (SLM) for a RAG system

Text classification: training and deployment

This example demonstrates how to fine-tune a small language model (SLM) for text classification.

Question Answering: training and deployment for open book QA

This example demonstrates how to fine-tune a small language model (SLM) for open-book question answering. In the Open-book QA setting, the LLM can refer to external sources of information (e.g., contexts gathered by the retriever) to answer given questions.