GPT 4 turbo
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.
PixelFlow allows you to use all these features
Unlock the full potential of generative AI with Segmind. Create stunning visuals and innovative designs with total creative control. Take advantage of powerful development tools to automate processes and models, elevating your creative workflow.
Segmented Creation Workflow
Gain greater control by dividing the creative process into distinct steps, refining each phase.
Customized Output
Customize at various stages, from initial generation to final adjustments, ensuring tailored creative outputs.
Layering Different Models
Integrate and utilize multiple models simultaneously, producing complex and polished creative results.
Workflow APIs
Deploy Pixelflows as APIs quickly, without server setup, ensuring scalability and efficiency.
GPT- 4 turbo
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.
Other Popular Models
insta-depth
InstantID aims to generate customized images with various poses or styles from only a single reference ID image while ensuring high fidelity
sdxl1.0-txt2img
The SDXL model is the official upgrade to the v1.5 model. The model is released as open-source software
codeformer
CodeFormer is a robust face restoration algorithm for old photos or AI-generated faces.
sd2.1-faceswapper
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
