Stochastic
Personalized language models for efficient deployment.
About Stochastic
Stochastic's XTURING is an open-source library that enables users to easily construct and manage Large Language Models (LLMs) for customized AI applications. With XTURING, users can refine LLMs with their own data and tailor them using cutting-edge, hardware-efficient algorithms. The tool is designed to simplify and democratize deep learning acceleration for both businesses and individuals. By offering a user-friendly interface, users can personalize LLMs to match their specific data and application requirements, empowering them to create their own personalized AI systems. XTURING provides a development tool chain that allows users to swiftly build LLMs with their own data using just three lines of code. The tool emphasizes hardware efficiency, enabling quicker fine-tuning processes with fewer GPUs. Moreover, Stochastic's solution features an enterprise-grade AI system that trains locally on user data and deploys on the cloud, capable of scaling to support millions of users without the need for a dedicated engineering team. Additionally, the tool offers real-time logging and monitoring of resource utilization and cloud costs for deployed models. In essence, Stochastic's XTURING streamlines the process of constructing and managing personalized AI systems, offering a seamless user experience for fine-tuning LLMs, prioritizing hardware efficiency, and delivering enterprise-ready functionalities like local training, cloud deployment, and monitoring capabilities.