Hallucination Management for Generative AI

Learn how to manage hallucinations for LLMs and Generative AI by scientifically backed techniques

What you'll learn
Detecting hallucinations for generative ai
Managing hallucinations
Prompt mitigation for hallucinations
RAG implementation for hallucinations
Fine tuning for hallucinations
Vulnerability assessment for LLMs

Requirements
Basic understanding of generative ai

Description
Welcome to the Hallucination Management for Generative AI courseGenerative Artificial Intelligence and Large Language Models have taken over the world with a great hype! Many people are using these technologies where as others are trying to build products with them. Whether you are a developer, prompt engineer or a heavy user of generative ai, you will see hallucinations created by generative ai at one point.Hallucinations will be there but it is up to us to manage them, limit them and minimize them. In this course we will provide best in class ways to manage hallucinations and create beautiful content with gen ai.This course is brought to you by Atil Samancioglu, teaching more than 400.000 students worldwide on programming and cyber security! Atil also teaches mobile application development in Bogazici University and he is founder of his own training startup Academy Club. Some of the topics that will be covered during the course:Hallucination Root CausesDetecting hallucinationsVulnerability assessment for LLMsSource groundingSnowball theoryTake a step back promptingChain of verificationHands on experiments with various modelsRAG ImplementationFine tuningAfter you complete the course you will be able to understand the root causes of hallucinations, detect them and minimize them via various techniques.If you are ready, let's get started!

Who this course is for
Prompt Engineers
Generative AI Users
Developers working with Generative AI