Predibase
Description
Discover Predibase, the low-code AI platform designed for developers. Train, finetune, and deploy machine learning models with just a few lines of code. Whether you need language models, audio classification, fraud detection, or sentiment analysis, Predibase has you covered. Developed by AI experts from renowned companies, it offers private hosting, customization, and streamlined model management. Enjoy scalability with Horovod and Ray frameworks, choose your deployment options, and maintain full ownership of your models. Simplify ML development with Predibase's simplicity, flexibility, and efficiency.
About Predibase
Predibase is a revolutionary low-code AI platform designed specifically for developers. Our goal is to provide developers with a fast and efficient way to train, finetune, and deploy machine learning (ML) models, from simple linear regressions to large language models.
With Predibase, developers can accomplish these tasks with just a few lines of configuration code, eliminating the need for extensive coding. Our platform offers a range of solutions for various use cases, such as large language models, audio classification, bot detection, credit card fraud detection, customer sentiment analysis, named entity recognition, and topic classification.
What sets Predibase apart is the expertise behind its development and deployment process. Our team is comprised of AI leaders from top companies like Uber, Google, Apple, and Amazon, bringing credibility and experience to every aspect of our platform. We even provide the capability for private hosting and customization of large language models, empowering developers to build their own Generalized Pre-trained Transformers (GPT) models.
Predibase simplifies the model building and deployment process by automating complex coding tasks and offering a declarative approach that accelerates AI projects. Additionally, we provide comprehensive model management and customization capabilities, allowing users to make granular-level adjustments to their models.
Deploying ML models is a breeze with Predibase's scalable infrastructure. Built on the Horovod and Ray frameworks, our platform offers flexible options for batch and real-time inference. Users have the choice to deploy models within their own Virtual Private Cloud (VPC), on the Predibase cloud, or export models for external use.
Our platform caters to developers of all skill levels, offering simplicity, flexibility, and efficiency in building and deploying custom ML models. By eliminating the reliance on external APIs, developers can have full ownership and control over their models, ensuring data privacy. Predibase is built on proven open-source technologies like Ludwig and Horovod, providing a solid foundation for ML development and productionization.