Proc is a Generative AI platform that aims to streamline AI development for creators, developers, and teams. It offers a range of tools and functionalities to develop, deploy, and observe AI in production.
These pillars encompass sub-components that work together for a holistic solution designed for collaboration. Proc adopts standards like Opentelemetry and Prometheus and utilizes readily available open-source models such as META’s LLAMA 2 to reduce the learning and integration curve.
The AI Trainer allows users to ingest and index data without code to train AI models. The chat interface enables user-friendly interaction with AI, while the logs debugger offers a flow-based tool for AI model debugging.
More details about Proc
What does Proc mean by ‘control to users’?
By ‘control to users’, Proc refers to its dedication to provide users with maximum control over their AI model creation and deployment process. It ensures that the users have the freedom and flexibility in terms of creating workflows, deployment, and monitoring.
How does the Trainer tool in Proc function?
Proc’s AI Trainer tool allows users to ingest and index data without code to train AI models. This makes it easy for users to feed in necessary information for AI model training, including files, URLs, and codes.
What’s the debugging tool provided by Proc?
Proc provides a flow-based tool called Logs debugger. This debugger simplifies the process of finding and fixing issues in your AI models.
How does Proc support collaboration?
Proc incorporates a variety of collaborative, low to no-code tools for streamlined AI development. It organizes and keeps track of every piece of information, enabling teams to collaborate and turn their visions into production-ready AI models.
