ARTi

The death of search

Chapter 1

The era of the blue links

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Chapter 2

The rise of the answer engine

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Chapter 3

The brain under the hood

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Chapter 4

The battle for the web's economy

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YOUR GOAL

Master of The death of search

Ch 3 · The brain under the hood
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steve No more scrolling through a million blue links, the engine reads the web and gives you the truth.

4h ago

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steve Confronting the problem of AI hallucinations

4h ago

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steve The role of large language models

4h ago

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steve Understanding Retrieval-Augmented Generation

4h ago

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steve The challenge of search latency

4h ago

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Pop the Hood

steve Pop the Hood

4h ago

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Confronting the problem of AI hallucinations

steve Confronting the problem of AI hallucinations

Jun 17

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Fun Fact

RAG origins: The concept of Retrieval-Augmented Generation was first introduced in a research paper published by Facebook AI Research in 2020.

Jun 17

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The role of large language models

steve The role of large language models

Jun 17

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Glossary
retrieval-augmented generation (noun)
An artificial intelligence technique that retrieves data from external sources to improve the accuracy of a language model. Aravind Srinivas used this framework to build his search startup in 2022, delivering cited answers over links.

Jun 17

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Quiz

What is latency in the context of conversational search engines?

Jun 17

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Gossip

Is AI search too fast?

Jun 17

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Quiz

In what year was the foundational research paper introducing RAG published?

Jun 17

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Quiz

Why do answer engines use RAG instead of just relying on a standard LLM's memory?

Jun 17

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Quiz

What is the main purpose of vector databases in modern AI search?

Jun 17

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Quiz

What does the acronym RAG stand for in artificial intelligence?

Jun 17

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Quiz

What is it called when an AI model confidently generates false or fabricated information?

Jun 17

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Quiz

Which component of an answer engine translates raw web search results into conversational text?

Jun 17

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Quiz

How do answer engines prevent LLM hallucinations during a search?

Jun 17