Cerebras vs GPT-4

Cerebras is an innovative AI technology company that specializes in providing advanced computing solutions to accelerate AI training and model development. The company's flagship product line includes the Condor Galaxy 1 AI Supercomputer and the Andromeda AI Supercomputer, which deliver unparalleled computing power to drive large-scale AI initiatives. These systems are designed to efficiently handle compute-intensive tasks such as training large language models (LLMs) and supporting high-performance computing (HPC) applications.

With the CS-2 system and a comprehensive suite of software tools, Cerebras offers customers the ability to build custom AI models for a variety of applications, including healthcare, energy, government, and financial services. Cerebras champions the power of its computing platforms through impressive customer testimonials, detailed technical resources, and a commitment to advancing AI research through open-source initiatives and developer support. Cerebras's AI Day, company news, and active engagement with the scientific community further underline its position at the forefront of generative AI technology. Visit the website www.cerebras.net for more information.

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.