TextSynth vs GPT-4

TextSynth is an innovative platform that unlocks the potential of advanced AI technology for diverse applications. It grants users access to a suite of powerful language and text-to-image models, including Llama2, Falcon, GPT-J, GPT-NeoX, Flan-T5, M2M100, CodeGen, and Stable Diffusion. Whether you are looking to engage in text completion, question answering, classification, chat, translation, or even image generation, TextSynth provides the necessary tools through its REST API and interactive playground.

Founded in 2020, TextSynth stands out as one of the pioneers in offering access to the GPT-2 language model. The platform's unique custom inference code enables faster processing speeds on standard GPUs and CPUs, delivering efficient performance and reducing costs for users. TextSynth is inviting to all users with its basic service that is free and rate-limited. For those who require more robust services without limitations, a competitively priced pay-per-request option is available. Furthermore, TextSynth offers custom support to cater to specific user needs. Should you require tailored assistance, you can easily reach out to the TextSynth team via contact details provided.

GPT-4 is the latest milestone in OpenAI’s effort in scaling up deep learning.

GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks. For example, it passes a simulated bar exam with a score around the top 10% of test takers; in contrast, GPT-3.5’s score was around the bottom 10%. We’ve spent 6 months iteratively aligning GPT-4 using lessons from our adversarial testing program as well as ChatGPT, resulting in our best-ever results (though far from perfect) on factuality, steerability, and refusing to go outside of guardrails.

GPT-4 is more creative and collaborative than ever before. It can generate, edit, and iterate with users on creative and technical writing tasks, such as composing songs, writing screenplays, or learning a user’s writing style.