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GPT-4

As explained in Introduction to Generative AI, Second Edition

GPT-4 is an OpenAI GPT language model released in 2023 and capable of performing a range of language and coding tasks.

GPT-4 is an OpenAI large language model released in March 2023. Unlike its predecessor, it accepts both text and image inputs, making it a multimodal model rather than a text-only system. Its capabilities span language, coding, examination questions, and practical administrative writing. section 1.16 section 1.7

GPT-4 can produce useful answers and drafts, but strong performance on selected tests does not make it a dependable professional replacement. It performs relatively well on easy LeetCode problems while struggling with medium and hard problems, and generating code differs from operating successfully as an engineer. section 1.9 section 1.7

Its demonstrated uses include:

  • Answering academic and professional examination questions, including the Uniform Bar Examination, LSAT, SAT, GRE, and advanced placement tests; it achieved human-level performance on most listed exams and placed in the top 10% on the bar examination. section 1.9
  • Drafting healthcare administration, including an insurer appeal letter, patient email responses, common-question replies, paperwork, and an accessible script about alcohol use disorder. section 6.2
  • Assisting with programming problems, while leaving a meaningful distinction between solving an isolated challenge and handling an entire software project. section 1.7

A healthcare administration example

A rheumatologist used GPT-4 to draft an appeal after an insurer denied coverage for a drug. The insurer granted the request, reportedly saving the patient $1,500 per month, while the practice also used the model for email replies and paperwork. Such results illustrate practical leverage, not guaranteed accuracy or independent judgment. section 6.2

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Demonstrates capabilities through benchmarks and cases but stops short of explaining implementation internals or guaranteeing autonomous professional performance.
Examples
Uses professional exams, LeetCode problems, an insurance appeal, clinical scripts, patient communications, and medical paperwork.
What you can do after
Evaluate/understand GPT-4's useful applications while distinguishing benchmark success and draft generation from reliable independent expertise.
How it connects
Connects large language models with multimodal models, generative AI, coding assistants, and machine-augmented work.

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