Why AI Sometimes Makes Things Up | Inference, Temperature & Hallucinations | AI Fundamentals Decoded
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Why AI Sometimes Makes Things Up | Inference, Temperature & Hallucinations | AI Fundamentals Decoded
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codestorywithMIK
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5 410 просмотров · 2 нед. назад
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Hi Everyone, welcome to the 12th video of our brand new Playlist: "AI Fundamentals Decoded" by codestorywithMIK.
We've covered how an AI model is trained from scratch with pre-training and fine-tuning. But what actually happens under the hood the exact moment you type a prompt and press Enter? In this video, we decode the 3 pillars of AI generation: What Inference actually means, how the Temperature setting controls predictability vs creativity, and why models can sound 100% confident while being factually wrong (Hallucinations)!
Video Title : Why AI Sometimes Makes Things Up | How It Decides What to Say | Inference, Temperature & Hallucinations | AI Fundamentals Decoded | codestorywithMIK
Topic : AI Inference, Sampling Temperature & Why AI Hallucinates (ELI5)
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Video Summary :
In this episode, we bridge the gap between model training and real-world usage. We break down the definition of Inference (Training = Learning, Inference = Using what was learned). Next, we explore Temperature: how adjusting probability distributions determines whether the output is predictable or creative. Finally, we dissect AI Hallucinations—why next-token prediction can produce plausible-sounding untruths, why confidence never guarantees correctness, and how grounding methods like RAG help mitigate the issue.
✨ Timelines✨
00:00 Introduction
00:24 Recap
00:46 Inference
01:22 Temperature
06:19 Can you change Temperature
07:30 Hallucination
08:32 Why Hallucination Happens ?
10:12 Overcoming Hallucination
11:00 Ending Notes
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