Kern AI refinery

🚀Ready to take data science to the next level? Meet Aqueduct – the automation tool you need to bring your models from development to production with just a few clicks. 🔑 Key Features: - 📈 Abstraction of low-level cloud infrastructure for effortless model deployment - 🌎 Access data and run models from anywhere with ease - 👀 Reliable monitoring for foolproof results - 💪 Simplify your data workflow and streamline your production process - 🧠 Empower your data team to focus on tasks that truly matter Whether you're an experienced data scientist or just getting started, Aqueduct takes the complexity out of deploying models in production. Try it out today and say goodbye to the headaches of manual infrastructure set up and unreliable results.

Introducing Golem – your go-to UI for AI language models. 🔍 👉 Beautiful design and user-friendly interface 🔑 Advanced security features to protect credentials and data 🔮 Fast and efficient interaction with GPT-3.5 and GPT-4 ✨ Open-source technology for wider accessibility and collaborative innovation Experience seamless interaction with AI models without compromising on design and security. Golem offers a user-friendly UI with advanced security features to protect your credentials and data generated from interactions. With its fast and efficient performance, Golem makes it easy for anyone to access GPT-3.5 and GPT-4 language models. Plus, enjoy the benefits of open-source technology for wider accessibility and collaborative innovation. 🔬

🧠 The deep learning platform for productive data science teams allows you to train and deploy models collaboratively. Here are its features: 💻 Collaborate on model training and deployment 💾 Comprehensive data management and sharing 🌎 Run models in the cloud or on-premises 🔒 Secure and compliant The platform helps your team increase productivity and efficiency by streamlining the process of building and deploying deep learning models. With comprehensive data management and sharing , it's easy to collaborate on model training and deployment. You can also choose to run your models on the cloud or on-premise, while staying secure and compliant .