MosaicML: Your Path to State of the Art AI
Throughout my career as a neuroscientist, processor architect, entrepreneur, and investor I’ve strived to bring intelligence to machines. I’ve also recognized that the way to do that is through products that make intelligence available to everyone, everywhere. That’s why today at Oracle CloudWorld we at MosaicML are announcing early access to MosaicML's purpose-built, full stack managed platform for building AI models efficiently.
Our platform was designed from the ground up for the unique needs of neural network development. We make state-of-the-art results accessible by managing systems and hardware complexities so that you can focus on building your models. With MosaicML, customers can access the latest neural network techniques to build large models that use their data to deliver tremendous business impact.
Today, large language models (LLMs) that power natural language processing (NLP) have quickly become a foundational AI technology. Last year, a third of technical leaders reported that their budget spend for NLP increased by 30%. There are some incredibly powerful LLMs available today - Google’s PALM and Open AI’s GPT-3 are some of the most well-known. But these models are enormous in scale, cost millions of dollars to create, and were trained on generic datasets like Wikipedia entries. A recent blog post by the Madrona team highlighted both the opportunities and challenges in building these models. So where does that leave organizations that generate massive amounts of valuable data but don’t have the same machine learning resources and expertise as Big Tech companies?
Introducing MosaicML's Purpose-Built, Optimized ML Training Platform
That’s why we built the MosaicML platform: to give you unprecedented access to state-of-the-art AI. The MosaicML platform is designed to accelerate the development of advanced models like Stable Diffusion that are capable of generating images from text. This technology is creating new market opportunities for video, media, and publishing companies practically overnight. With our early users, MosaicML reduces the cost and time of large model development by orders of magnitude. Our customers are able to train their AI models 90% cheaper and 10x faster than before, by leveraging our systems and algorithmic optimizations. The Stanford Center for Research on Foundation Models (CRFM) is working with MosaicML to train large language models for biomedical text. They are using MosaicML’s toolset that is capable of training GPT-3 quality language models for less than $450K, a huge savings compared to the average cost of training GPT-3 models (~$5-10M/run).
We’ve built a multi-cloud software and orchestration stack that offers the best performance per dollar in the world for developing neural network models and can be deployed on any cloud, or on our high performance infrastructure. Our world-class ML research and engineering experts work hand-in-hand with your team to build your best model with your own data. We’ll help you avoid engineering challenges like hardware failures, dataset wrangling, and GPU scaling - and keep your AI development costs under control.
Until now, only a few huge companies have been able to fully realize the power of large neural networks, creating a world of haves and have-nots. Today, with MosaicML, we’re giving all organizations of any size unprecedented levels of access to cutting edge AI research and technology that will transform your business. Sign up for a free trial today!
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