LangExtract - Google's New Library for NLP Tasks

Explore Google's LangExtract library in this 20-minute tutorial that demonstrates how to perform traditional natural language processing tasks using large language models with structured outputs. Begin with an overview of BERT's role in NLP tasks and examine transformer architecture diagrams alongside mixture of expert models. Discover ModernBERT's capabilities before diving into Google's official blog post about LangExtract, which simplifies information extraction workflows by leveraging Gemini's power. Follow along with a hands-on Colab demonstration that shows practical implementation of the library for various NLP applications. Learn how this new approach bridges classical NLP techniques with modern LLM capabilities, making complex information extraction tasks more accessible and efficient for developers and researchers working with natural language processing.