Open-source AI Feedback framework for scalable LLM Alignment

Nov 23, 2023 ·

Distilabel is an open source, machine learning-based classification system for natural language processing (NLP) tasks. It provides users with a simple way to quickly and accurately classify text into any number of user-defined categories or labels. Distilabel simplifies the process of labeling data for NLP tasks such as sentiment analysis, intent recognition, keyword extraction, etc. by providing an interface for quickly creating custom labels and automatically predicting, based on user input, the correct label for a given piece of text. The system incorporates techniques from traditional supervised learning models, as well as more sophisticated deep learning techniques like word embeddings and convolutional neural networks (CNNs). Distilabel also provides an API that can be used to integrate with existing applications and services. Additionally, the system can be extended to cover other classification tasks, such as image classification. The combination of ease of use, fast training time and high accuracy makes Distilabel an ideal tool for natural language processing tasks.