Harnessing LLMs to Extract Insights from Text Data
Offered By: Snorkel AI via YouTube
Course Description
Overview
Explore how to leverage large language models (LLMs) for extracting insights from text data in enterprise settings in this 28-minute talk by Kristina Liapchin, Lead Product Manager at Snorkel AI. Learn about the challenges of deploying LLMs in business environments, including adapting models to customer-specific data and incorporating domain knowledge. Discover how Snorkel Flow can help overcome these obstacles and enable companies to drive value from LLMs in enterprise-grade natural language processing (NLP) applications. Gain insights into making the most of LLMs for text analysis and understanding in various business contexts.
Syllabus
How To Harness LLMs To Extract Insights from Text Data
Taught by
Snorkel AI
Related Courses
Solving the Last Mile Problem of Foundation Models with Data-Centric AIMLOps.community via YouTube Foundational Models in Enterprise AI - Challenges and Opportunities
MLOps.community via YouTube Knowledge Distillation Demystified: Techniques and Applications
Snorkel AI via YouTube Model Distillation - From Large Models to Efficient Enterprise Solutions
Snorkel AI via YouTube Curate Training Data via Labeling Functions - 10 to 100x Faster
Snorkel AI via YouTube