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Description

The process can be exasperatingly sluggish, often requiring specialized development skills or resources, which means many models never reach the end-users. With Baseten, you can launch full-stack applications in just a matter of minutes. Models can be deployed right away, API endpoints are generated automatically, and you can effortlessly construct user interfaces using drag-and-drop elements. It's unnecessary to become an expert in DevOps to bring your models into production. Baseten allows you to serve, manage, and monitor your models with just a few lines of Python code. You can easily integrate business logic around your model and synchronize data sources without the usual infrastructure challenges. Begin your journey with sensible defaults while having the option to scale infinitely with detailed controls as needed. You have the flexibility to interact with your existing data stores or utilize our integrated Postgres database. Additionally, you can design intuitive and appealing interfaces for business users, complete with headings, callouts, dividers, and various other components to enhance user experience. This platform truly simplifies the model deployment process, making it accessible to a wider audience.

Description

Experience robust data engineering processes free from the challenges of infrastructure management. By utilizing straightforward, modular Python, you can define intricate streaming, scheduling, and data backfill pipelines with ease. Transition from traditional ETL methods and access your data instantly, regardless of its complexity. Seamlessly blend deep learning and large language models with structured business datasets to enhance decision-making. Improve forecasting accuracy using up-to-date information, eliminate the costs associated with vendor data pre-fetching, and conduct timely queries for online predictions. Test your ideas in Jupyter notebooks before moving them to a live environment. Avoid discrepancies between training and serving data while developing new workflows in mere milliseconds. Monitor all of your data operations in real-time to effortlessly track usage and maintain data integrity. Have full visibility into everything you've processed and the ability to replay data as needed. Easily integrate with existing tools and deploy on your infrastructure, while setting and enforcing withdrawal limits with tailored hold periods. With such capabilities, you can not only enhance productivity but also ensure streamlined operations across your data ecosystem.