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Techniques For Reducing Model Hallucinations | Model Fine-tuning | Beginner Friendly Approach

Автор: Code With Prince

Загружено: 2025-06-18

Просмотров: 296

Описание:

Learn different techniques you can apply to reduce LLM hallucination. From prompt engineering to Retrieval Augemented Generation (RAG) to fine-tuning.

What you'll learn:

Introduction to model fine-tuning
Understanding RAG systems
Advantages and disadvantages of each
Real-world use cases
How to choose the right approach
Combining both techniques

Perfect for beginners getting started with AI model customization.
Subscribe for more beginner-friendly AI tutorials.

Tags:
#ModelFineTuning #RAG #AI #MachineLearning #LLM #BeginnerTutorial #ArtificialIntelligence #DataScience #Programming #TechEducation #promptengineering #prompting

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Thank you for watching and see you in the next video!!
This video covers techniques to reduce ai hallucination in large language models, including prompt engineering and retrieval augmented generation. Learn simple examples and clear visuals to make AI answers more accurate. We will also discuss how fine tuning llm can improve results.

Techniques For Reducing Model Hallucinations | Model Fine-tuning | Beginner Friendly Approach

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