Explore text summarization using Langchain and a fine-tuned T5 model in this 42-minute video tutorial. Learn how to implement a document summarization chain with LLM T5 base and clustering techniques. Access three accompanying Jupyter notebooks on GitHub to follow along and practice the concepts presented. Gain hands-on experience in applying advanced natural language processing techniques for efficient text summarization using machine learning tools and frameworks.
Langchain Document Summarization Using Fine-Tuned T5 and Clustering
The Machine Learning Engineer via YouTube
Overview
Syllabus
Langchain Document Summarization Chain with LLM T5 base Fine Tuned & Clustering
Taught by
The Machine Learning Engineer
Related Courses
-
Document Summarization: Langchain Summarization Chains, Clustering and LLMs
-
Fine-Tuning Flan T5 Base for Document Summarization Using Multi-News Dataset
-
Fine Tune BERT for Text Classification with TensorFlow
-
Large Language Models: Application through Production
-
Fundamentals of AI Agents Using RAG and LangChain
-
LangChain Chat with Your Data
