GPT 4
GPT-4 outperforms both previous large language models and as of 2023, most state-of-the-art systems (which often have benchmark-specific training or hand-engineering). On the MMLU benchmark, an English-language suite of multiple-choice questions covering 57 subjects, GPT-4 not only outperforms existing models by a considerable margin in English, but also demonstrates strong performance in other languages.
Playground
Related Pixelflows
Discover Pixelflow templates that use this model.
Resources to get you started
Everything you need to know to get the most out of GPT 4
GPT- 4
GPT-4 is a highly advanced language model that uses a transformer architecture for processing complex linguistic structures. Itâs capable of generating human-like text, making it useful for a variety of applications. One of the key features of GPT-4 is its attention mechanism, which allows the model to discern which pieces of data are more relevant than others. This results in more targeted and informative responses, enhancing user interaction.
GPT-4 can handle over 25,000 words of text, allowing for use cases like long-form content creation, extended conversations, and document search and analysis. It surpasses GPT-3.5 in its advanced reasoning capabilities.
Other Popular Models
Discover other models you might be interested in.
Story Diffusion
Story Diffusion turns your written narratives into stunning image sequences.
IDM VTON
Best-in-class clothing virtual try on in the wild
Faceswap
Take a picture/gif and replace the face in it with a face of your choice. You only need one image of the desired face. No dataset, no training
ESRGAN
ERGAN is an Image Super-Resolution (upscaler) model that enhances images with stunning, high-quality upscaling while preserving the exact composition of the original source. It improves detail without altering the image content.
