Taming AI Hallucinations?
Dive deep into the fascinating world of AI hallucinations with Matt Williams, a founding maintainer of the Ollama project. This video explores the perplexing phenomenon of AI models confidently producing incorrect information, examining its causes and potential solutions.
Key points covered:
What are AI hallucinations and why do they occur?
The limitations of simple prompt-based solutions
How AI models generate responses and their lack of true "knowledge"
The impact of training data on hallucinations
Strategies to mitigate hallucinations, including RAG and fine-tuning
The future of AI and the ongoing challenge of eliminating hallucinations
Whether you're an AI enthusiast or just curious about the technology shaping our world, this video offers valuable insights into the complexities of large language models and their outputs. Join Matt as he demystifies AI hallucinations and discusses the importance of critical thinking when working with AI-generated content.
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00:00 - Introduction
00:30 - A common strategy
00:53 - What does the model know
01:27 - Getting started with Ollama
01:48 - what are they
02:02 - A classic example
02:40 - Always verify
02:53 - Alternate facts?
04:16 - Why
05:41 - One thought at solving it
06:29 - A safer approach
07:25 - Is it getting better?
08:03 - Will they go away?
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