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GPT-4

As explained in AI for Everyday IT

GPT is OpenAI's family of generative pre-trained transformer language models.

GPT-4 is a generative pretrained transformer language model from OpenAI. It learns patterns from existing data and generates new text, including technical documentation and creative writing. section 3.4.1 section 1.4

In IT support, GPT models can learn product documentation quickly, helping teams solve problems faster, onboard new technicians, and improve customer service. Treat generated answers as assistance, not automatic fact. section 8.2

Support-documentation workflow

Give a GPT model the relevant product documentation and ask it to summarize troubleshooting steps or draft a customer response. Check the result against the source material before sending it. section 8.2

Table 3.2 ChatGPT account comparison (2025)
Feature/Capability
Free account
Plus account (premium)
Messages and interactions
Unlimited, subject to rate limits
Unlimited, with higher rate limits
Chat history
Unlimited
Unlimited
GPT-4o access
Limited access
Full access with advanced capabilities
Advanced reasoning model
Not available
Available (access to o3 and o4 models)
Response speed
Standard, may vary during peak times
Faster, with priority processing
Context capacity
8,000 tokens
Up to 32,000 tokens
Custom GPT creation
Limited
Full access to create, customize, and share GPTs
Image generation
Not available
Available (powered by GPT-4o)
Web browsing
Limited
Full, real-time browsing access
Vision
Limited
Full access for analyzing images and visual data
Voice conversations
Limited
Full access with advanced voice features
Data analysis tools
Limited
Full access to advanced data analysis capabilities
Team collaboration tools
Not available
Available (via ChatGPT Team/Enterprise plans)
Enhanced privacy controls
Standard
Advanced data privacy features with priority support

Compare account access, context capacity, speed, and GPT-4o availability across free and Plus ChatGPT plans. section 3.4.1

How AI for Everyday IT covers it

How deep it goes
Defines GPT as a generative language model and shows workplace uses, but avoids model internals and formal theory.
Examples
Uses technical documentation, troubleshooting, customer responses, and account-comparison tables as practical examples.
What it assumes
Assumes basic familiarity with workplace IT and introduces generative AI and language-model concepts accessibly.
What you can do after
Apply GPTs to documentation-based support tasks while checking generated answers against authoritative product information.
How it connects
Connects GPT-4 with generative AI, large language models, ChatGPT, GPT-4o, and technical support.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of AI for Everyday IT. The section links point to the parts of the book it draws on.