We are happy to have another great AI/ML story to share from our community. In this blog post, MA Raza, Ph.D., provides a guide to building and deploying a LangChain-powered chat app with Docker and Streamlit. This article reinforces the value that Docker brings to...
ai/ml
Supercharging AI/ML Development with JupyterLab and Docker
We show how to use Docker Desktop to containerize JupyterLab 4.0 and evaluate its features without affecting your existing environment.
Why Are There More Than 100 Million Pull Requests for AI/ML Images on Docker Hub?
We look more closely at how Docker provides a powerful tool for AI/ML development.
Optimizing Deep Learning Workflows: Leveraging Stable Diffusion and Docker on WSL 2
Learn how to set up the Stable Diffusion WebUI Docker, which includes enabling WSL2 and installing Docker Desktop.
Conversational AI Made Easy: Developing an ML FAQ Model Demo from Scratch Using Rasa and Docker
How to use the open source Rasa framework along with Docker to build and deploy a containerized, conversational AI chatbot.
Full-Stack Reproducibility for AI/ML with Docker and Kaskada
Learn how Docker and Kaskada improve and accelerate the machine learning development cycle.
Effortlessly Build Machine Learning Apps with Hugging Face’s Docker Spaces
Learn about the Hugging Face Hub and how to use its Docker Spaces to build machine learning apps effortlessly.
Docker and Hugging Face Partner to Democratize AI
We’re excited to announce that Hugging Face and Docker are partnering to democratize AI and make it more accessible to software engineers!
How to Develop and Deploy a Customer Churn Prediction Model Using Python, Streamlit, and Docker
Customer churn is a million-dollar problem for businesses today. The SaaS market is becoming increasingly saturated, and customers can choose from plenty of providers. Retention and nurturing are challenging. Online businesses view customers as churn when they stop...