Categories: AI/ML Research

Multi-Label Text Classification with Scikit-LLM

Text classification typically boils down to scenarios where a product review is “positive” or “negative”, or a customer inquiry belongs to one category or another.

Getting Started with Zero-Shot Text Classification

Zero-shot text classification is a way to label text without first training a classifier on your own task-specific dataset.

April 21, 2026

In "AI/ML Research"

Example Applications of Text Embedding

This post is divided into five parts; they are: • Recommendation Systems • Cross-Lingual Applications • Text Classification • Zero-Shot Classification • Visualizing Text Embeddings A simple recommendation system can be created by finding a few of the most similar items to the target item.

April 8, 2025

In "AI/ML Research"

Zero-Shot and Few-Shot Classification with Scikit-LLM

In this article, you will learn: • how Scikit-LLM integrates large language models like OpenAI's GPT with the Scikit-learn framework for text analysis.

July 23, 2025

In "AI/ML Research"

AI Generated Robotic Content