- Course
Fact Verification with RAGs
Learn how to use retrieval-augmented generation (RAG) to ensure the accuracy of AI-generated content. This course uses Python and advanced NLP models to implement data retrieval and verification systems.
Beginner
- Course
Fact Verification with RAGs
Learn how to use retrieval-augmented generation (RAG) to ensure the accuracy of AI-generated content. This course uses Python and advanced NLP models to implement data retrieval and verification systems.
Beginner
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This course is included in the libraries shown below:
- AI
What you'll learn
Ensuring the accuracy of AI-generated content is critical. In this course, Fact Verification with RAGs, you’ll learn to implement a system that verifies AI-generated content using NLP techniques. First, you’ll explore how to retrieve relevant data from a dataset using Python and the pandas library. Next, you’ll discover how to use pre-trained sentence transformers to generate embeddings for textual data. Finally, you’ll learn how to implement a zero-shot classification model to assess the veracity of claims. When you're finished with this course, you’ll have the essential skills and knowledge of retrieval-augmented generation needed to ensure the accuracy and reliability of AI-generated content using Python common libraries.
Fact Verification with RAGs
Beginner
Table of contents
Eduardo is a technology enthusiast, software architect and customer success advocate. He's designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions. He's a well-known specialist in the Enterprise Content Management market segment, specifically focusing on data capture & extraction and document process automation.