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OpenAI GPT-4o

Question answering
Text generation
Zero-shot classification
Summarization
Conversational
Image classification
Text classification
Custom ontology

GPT-4o (“o” for “omni”) is the most advanced OpenAI model. It is multimodal (accepting text or image inputs and outputting text), and it has the same high intelligence as GPT-4 Turbo but is much more efficient—it generates text 2x faster and is 50% cheaper. Additionally, GPT-4o has the best vision and performance across non-English languages of any OpenAI model. 


Performance

As measured on traditional benchmarks, GPT-4o achieves GPT-4 Turbo-level performance on text, reasoning, and coding intelligence, while setting new high watermarks on multilingual, audio, and vision capabilities.


Limitations

  • Accuracy: While GPT-4o can provide detailed and accurate responses, it may occasionally generate incorrect or nonsensical answers, particularly for highly specialized or obscure queries.

  • Context: May struggle with maintaining context over extended conversations, leading to inconsistencies in long interactions.

  • Bias: As it is trained on a large corpus of internet text, it may inadvertently reflect and perpetuate biases present in the training data.

  • Creativity Boundaries: While capable of creative outputs, it may not always meet specific creative standards or expectations for novel and nuanced content.

  • Ethical Concerns: Can be used to generate misleading information, offensive content, or be exploited for harmful purposes if not properly moderated.

  • Comprehension: Might not fully understand or accurately interpret highly technical or domain-specific content, especially if it involves recent developments post-training data cutoff.

  • Dependence on Prompt Quality: The quality and relevance of the output are highly dependent on the clarity and specificity of the input prompts provided by the user.


Citation

https://platform.openai.com/docs/models/gpt-4o