AI Fundamentals - Part 2: Why AI Gets Things Right... and Wrong
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In Part 1 , we learned how an LLM turns your prompt into a response. It all comes down to predicting one token at a time using the information available in its context window. But that raises another question: if AI is capable of writing code, planning trips, and explaining complex topics, why does it sometimes confidently give completely wrong answers? To answer that, let's continue building our AI-powered Travel Planner. Running Example Our Travel Planner is now live, and a user asks: I'm…
1Key Takeaways
- In Part 1 , we learned how an LLM turns your prompt into a response.
- It all comes down to predicting one token at a time using the information available in its context window.
- But that raises another question: if AI is capable of writing code, planning trips, and explaining complex topics, why does it sometimes confidently give completely wrong answers?
- To answer that, let's continue building our AI-powered Travel Planner.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that in Part 1 , we learned how an LLM turns your prompt into a response.
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