GPT-4
Definition
GPT-4 is a transformer-based OpenAI model for tasks involving language and other input types.
GPT-4 is described in the technical report as a large multimodal model that can accept text and images as input and produce text output. The pretraining aims to predict the next token, i.e., a processed text unit. Afterwards, the behavior was further adapted based on human feedback.
Simply explained
A model trained on many examples processes inputs and generates appropriate texts; however, its statements can still be incorrect.
Why it matters in practice
The report shows possible tasks such as dialogues, summarization, and translation. It also mentions reliability limits that must be considered in operational tests.
Example from business
Possible example: A team compares a historical GPT-4 version with another model using the same approved text tasks.
Limits and pitfalls
- OpenAI describes hallucinations and limited reliability. The report also does not fully disclose model size and essential training details; such information must not be inferred from the name.
Origin & history
The initially cited version of the technical report was submitted on 15.03.2023. The date refers to this publication, not every later product variant.
Use in mid-sized companies
- Possible applications include comparative text tests, investigation of summaries, and traceability of older model studies.
Frequently asked questions
Does the report publish the exact model size?
No; section 2 explicitly excludes this information.
Does a good test result prove reliable answers in operation?
No; despite benchmark results, the report continues to describe reliability limits.
Sources
- GPT-4 Technical Report · OpenAI (2023): GPT-4 Technical Report
Editorially reviewed on: