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GPT-4

As explained in Elasticsearch in Action, Second Edition

GPT-4 is a generative pretrained transformer language model developed by OpenAI.

GPT-4 is a generative pretrained transformer language model developed by OpenAI. It supports conversational search by interpreting complex natural-language questions, context, and intent rather than requiring specific keywords. section 1.6

GPT-4 matters to modern search because it can:

  • Make search queries more conversational and intuitive. section 1.6
  • Interpret complex queries through natural-language understanding of context and intent. section 1.6
  • Reshape full-text search capabilities in systems such as Elasticsearch. section 1.6

Conversational search

Instead of entering only specific keywords, a user can ask a search question as they would in a conversation. GPT-4 can use the question’s context and intent to support more accurate and relevant results. section 1.6

How Elasticsearch in Action, Second Edition covers it

How deep it goes
Explains training scale, knowledge cutoff, and internet-access limits without detailing model internals.
Examples
Uses conversational questions and training material drawn from books, articles, papers, and blogs.
What you can do after
Evaluate GPT-4’s role in conversational search and its limitations for real-time information retrieval.
How it connects
Links generative AI with natural language, search engines, full-text search, and Elasticsearch.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Elasticsearch in Action, Second Edition. The section links point to the parts of the book it draws on.