GPT model

As explained in Build Python Web Apps with Streamlit

GPT-5.1 is an OpenAI large language model in the GPT-5 family that supports configurable reasoning behavior.

How Build Python Web Apps with Streamlit covers it

How deep it goes

Explains messages, endpoint selection, reasoning configuration, and returned content, but stops short of model internals.

Examples

Demonstrates a programming assistant explaining Streamlit in ten words or fewer through a Python API call.

What it assumes

Assumes basic Python and API access, while introducing messages, chat completions, and model selection.

What you can do after

Apply it via the OpenAI Python library to send a conversation and extract generated text from the completion response.

How it connects

Connects GPT models with large language models, chat completions, prompts, Structured Outputs, temperature, and top_p.

liveBookmanning.com

Read Build Python Web Apps with Streamlit on liveBook Get the book at manning.com

Also explained in

• 

  liveBookmanning.com
  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.
• 

  liveBookmanning.com
  Grokking AI ApplicationsGPT is a generative pretrained transformer language model that predicts likely continuations of text.
• 

  liveBookmanning.com
  The Complete Obsolete Guide to Generative AIA family of generative language models based on the Generative Pre-trained Transformer architecture.
• 

  liveBookmanning.com
  Sutskever's ListThe GPT family is a series of transformer-based autoregressive language models.
• 

  liveBookmanning.com
  Build a Large Language Model (From Scratch)A family of decoder-only generative pretrained transformer language models.
• 

  liveBookmanning.com
  Learn Generative AI with PyTorchA family of generative pretrained Transformer language models referenced here as the host family that Codex is integrated into.
• 

  liveBookmanning.com
  LLMs in ProductionA GPT model is a generative pretrained transformer language model that produces text from an input context.
• 

  liveBookmanning.com
  Generative AI in ActionA family of generative pretrained transformer language models developed by OpenAI.
• 

  liveBookmanning.com
  How Large Language Models WorkGPT is a family of generative pretrained transformer-based language models developed by OpenAI.
• 

  liveBookmanning.com
  Deep Learning with R, Third EditionGPT is a family of autoregressive Transformer language models that generate text by predicting successive tokens from preceding context.
• 

  liveBookmanning.com
  Introduction to Generative AI, Second EditionGPT is a family of autoregressive transformer language models developed by OpenAI and pretrained on large text corpora.
• 

  liveBookmanning.com
  Deep Learning with Python, Third EditionA decoder-only transformer language model that generates text by predicting the next token from left-context only.
• 

  liveBookmanning.com
  Build a Website with ChatGPTGPT is a family of generative pretrained transformer language models that generate text from input context.
• 

  liveBookmanning.com
  Elasticsearch in Action, Second EditionA generative pretrained transformer is a transformer-based neural-network architecture pretrained to generate or understand text.
• 

  liveBookmanning.com
  Inside AIGPT-3 is a generative language model developed by OpenAI for processing and generating human-language text.
• 

  liveBookmanning.com
  Deep Learning with PyTorch, Second EditionA decoder-only transformer architecture used for autoregressive text generation without a separate encoder stack.
• 

  liveBookmanning.com
  Machine Learning Algorithms in DepthGPT-3 is a large autoregressive transformer language model that generates text from preceding context.

Compare how 18 books explain GPT model →

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-4contrasts with · 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 Build Python Web Apps with Streamlit. The section links point to the parts of the book it draws on.