How deeply does Elasticsearch in Action, Second Edition cover GPT model?

Explains the transformer label, next-word prediction, broad training data, learned language patterns, and fine-tuning, without architectural internals.

GPT model

As explained in Elasticsearch in Action, Second Edition

A generative pretrained transformer is a transformer-based neural-network architecture pretrained to generate or understand text.

A GPT model powers applications that generate human-like text from prompts, such as travel planning, legal-document summaries, code analysis, and technology comparisons. section 1.6

GPT means generative pretrained transformer. The model learns from vast text collections by predicting the next word, acquiring patterns of grammar, punctuation, syntax, facts, and limited reasoning ability. section 1.6

GPT-based systems can support tasks including:

Generating conversational responses while aiming for safe, relevant, meaningful dialogue. section 1.6
Adapting to specialized tasks through fine-tuning with specific datasets. section 1.6

Prompt-driven assistance

A user can ask a GPT-powered conversational agent to create an Athens itinerary, simplify a legal document, develop a weight-loss plan, or inspect code for security and performance bugs. section 1.6

How Elasticsearch in Action, Second Edition covers it

Cover of Elasticsearch in Action, Second Edition

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Also explained in

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WordPress Power Toolkit: Harness AI to build next-level websitesGPT is a family of generative transformer language models developed by OpenAI for text, reasoning, programming, and multimodal tasks.
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Grokking AI ApplicationsGPT is a generative pretrained transformer language model that predicts likely continuations of text.
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The Complete Obsolete Guide to Generative AIA family of generative language models based on the Generative Pre-trained Transformer architecture.
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Sutskever's ListThe GPT family is a series of transformer-based autoregressive language models.
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Build a Large Language Model (From Scratch)A family of decoder-only generative pretrained transformer language models.
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Learn Generative AI with PyTorchA family of generative pretrained Transformer language models referenced here as the host family that Codex is integrated into.
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LLMs in ProductionA GPT model is a generative pretrained transformer language model that produces text from an input context.
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Generative AI in ActionA family of generative pretrained transformer language models developed by OpenAI.
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How Large Language Models WorkGPT is a family of generative pretrained transformer-based language models developed by OpenAI.
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Deep Learning with R, Third EditionGPT is a family of autoregressive Transformer language models that generate text by predicting successive tokens from preceding context.
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Introduction to Generative AI, Second EditionGPT is a family of autoregressive transformer language models developed by OpenAI and pretrained on large text corpora.
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Deep Learning with Python, Third EditionA decoder-only transformer language model that generates text by predicting the next token from left-context only.
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Build a Website with ChatGPTGPT is a family of generative pretrained transformer language models that generate text from input context.
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Inside AIGPT-3 is a generative language model developed by OpenAI for processing and generating human-language text.
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Deep Learning with PyTorch, Second EditionA decoder-only transformer architecture used for autoregressive text generation without a separate encoder stack.
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Machine Learning Algorithms in DepthGPT-3 is a large autoregressive transformer language model that generates text from preceding context.
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Build Python Web Apps with StreamlitGPT-5.1 is an OpenAI large language model in the GPT-5 family that supports configurable reasoning behavior.

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Related concepts

ChatGPTused by · ChatGPT is OpenAI’s conversational AI service, which lets users interact with generative AI models and related tools through natural-language prompts.
decoder-only transformerkind of · A decoder-only transformer is a Transformer architecture without a separate encoder that processes preceding context to predict or generate subsequent sequence elements.
deep learningkind of · Deep learning is a machine-learning approach that uses neural networks with multiple computational layers to learn representations from data.
fine-tuningused by · Fine-tuning is adapting a pretrained machine-learning model by training it further on targeted data or objectives for a task, domain, or behavior.
language modelkind of · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
GPT-4alternative to · GPT-4 is a generative large language model developed by OpenAI for understanding and generating text and other supported inputs and outputs.

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.