Hallucination Management for Generative AI

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

Welcome to the Hallucination Management for Generative AI course

Generative 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 Causes

• Detecting hallucinations

• Vulnerability assessment for LLMs

• Source grounding

• Snowball theory

• Take a step back prompting

• Chain of verification

• Hands on experiments with various models

• RAG Implementation

• Fine tuning

After 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!