AutoML for Natural Language - Build Powerful NLP Models Without Code

Webinar Summary:

This session provides a foundational overview of machine learning (ML) concepts, terminology, and real-world applications. You’ll learn when and how to use ML, the phases of a machine learning pipeline, and key differences between supervised, unsupervised, and reinforcement learning. We’ll also introduce deep learning and discuss how AWS services can help simplify and accelerate ML adoption for solving business challenges.

Webinar Summary:

Learn the art of designing effective prompts for large language models like ChatGPT. This session will cover techniques for improving AI responses, automating tasks, and enhancing user interactions through prompt design strategies.

Webinar Summary:

Discover how to leverage Google Cloud AutoML for powerful natural language processing without complex coding. Learn to build models for text classification, sentiment analysis, and entity extraction using your own data. Ideal for content teams, analysts, and ML beginners working with unstructured text data.