concept
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concept:gpt-4v

GPT-4V

Example of unified multimodal system handling both images and text with a combined architecture

Neighborhood — ranked by edge-count

Papers (1)

paper

Concepts (2)

concept
  • GPT-4
    related_to
    Large language model underlying ChatGPT and Bing Chat; used for illustrative quotes in the paper
  • GPT-4.1
    related_to
    OpenAI model tested in Experiments 1, 3, 4; shows 100% experience reporting under self-referential induction

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • GPT-4 Turboconcept0.844
    OpenAI model tested; shows no alignment faking due to insufficient detailed reasoning
  • GPT-4o as Judgemethod0.831
    Using GPT-4o to evaluate character fidelity and multi-turn response quality in RPA experiments
  • GPT-3concept0.818
    Large language model cited as an example; also used in Andreas 2022 for preliminary evidence
  • GPT-2concept0.810
    Early large language model cited as an example of transformer-based LLMs
  • GPT-4 was used to generate unique variations of cheap/expensive items and room names for the test dataset
  • A family of large language models trained on next-token prediction, central example of simulators.
  • Uses GPT-4 via the OpenAI API to generate custom multiple-choice benchmark instances, with human and automated validation.
  • GPT-4o (temperature=0) used to assign personality scores [1-5] to each atomic sentence