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. Currently points to gpt-4-turbo-2024-04-09.
GPT-4 Turbo is an advanced system that can retain more information and has knowledge of events that occurred up to April 2023. This is a significant improvement from prior GPT generations, which had a knowledge cut-off of September 2021.
GPT-4 Turbo introduces a 128k context window, equivalent to 300 pages of text in a single prompt. This allows for use cases like long-form content creation, extended conversations, and document search and analysis. It can also solve difficult problems with greater accuracy, thanks to its broader general knowledge and problem-solving abilities.
One of the key features of GPT-4 Turbo is its cost-effectiveness. The model is 3X cheaper for input tokens and 2X cheaper for output tokens compared to the original GPT-4 model.
InstantID aims to generate customized images with various poses or styles from only a single reference ID image while ensuring high fidelity
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
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