Fact Verification with RAGs
Fact Verification with RAGs
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 24m | 105 MB
Instructor: Ed Freitas
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 24m | 105 MB
Instructor: Ed Freitas
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.
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
