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
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
RAGImplementation
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!
