by CPI Staff | Oct 12, 2026 | AI, Blog, LangChain
In this blog post LangChain architecture explained for agents RAG and production apps we will unpack how LangChain works, when to use it, and how to build reliable AI features without reinventing the wheel. At a high level, LangChain is a toolkit for composing large...
by CPI Staff | Oct 12, 2026 | Blog, Streamlit
In this blog post A Practical Guide to Securing Streamlit Environment Vars with TOML we will show you how to keep API keys, database URLs, and service credentials safe while building fast Streamlit apps. Secrets are the backbone of most apps. If you hardcode them, you...
by CPI Staff | Oct 12, 2026 | AI, Blog, Keras
In this blog post Keras Functional API Demystified for Flexible Deep Learning Workflows we will unpack what the Keras Functional API is, why it matters, and how to use it effectively in real projects. The Keras Functional API is the sweet spot between simplicity and...
by CPI Staff | Oct 12, 2026 | AI, Blog, TensorFlow
In this blog post Deploy a Model with TensorFlow Serving on Docker and Kubernetes we will walk through how to package a TensorFlow model, serve it locally with Docker, and scale it on Kubernetes. Deploy a Model with TensorFlow Serving on Docker and Kubernetes is aimed...
by CPI Staff | Oct 12, 2026 | AI, Blog, Keras
In this blog post Build a Keras Model for Real Projects From Idea to Deployment we will walk through a practical, end-to-end way to design, train, and ship a Keras model that stands up in real work. Keras is a high-level deep learning API that runs on top of...
by CPI Staff | Oct 12, 2026 | Blog, Python, Streamlit
In this blog post Build Data Driven Apps With Streamlit That Users Love To Use we will explore how to turn data and Python into interactive apps that your team can use immediately. Whether you are a data scientist, engineer, or technical leader, Streamlit makes it...
