Document Definition in LangChain

Document Definition in LangChain

In this blog post Mastering Document Definition in LangChain for Reliable RAG we will explore what a Document means in LangChain, why it matters, and how to structure, chunk, and store it for robust retrieval-augmented generation (RAG). At a high level, LangChain uses...
Deploying Deep Learning Models

Deploying Deep Learning Models

In this blog post Deploying Deep Learning Models as Fast Secure REST APIs in Production we will walk through how to turn a trained model into a robust web service ready for real users and real traffic. Deploying a model is about more than shipping code. It’s about...
Mastering Common Tensor Operations

Mastering Common Tensor Operations

In this blog post Mastering Common Tensor Operations for AI and Data Workloads we will break down the everyday moves you need to work with tensors, the data structure behind modern AI. Tensors are to machine learning what spreadsheets are to finance: a compact,...
Deploy a Model with TensorFlow Serving

Deploy a Model with TensorFlow Serving

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...
Build a Keras Model for Real Projects

Build a Keras Model for Real Projects

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...
Keras Functional API

Keras Functional API

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...