Articles | Notes | Tips | Tutorials
In this primer, we will provide an overview of the the emerging standard Model Context Protocol (or MCP) specification for building Agentic LLM apps AND get our hands dirty with some code samples using Ollama and LangChain.
Here is the link to the article on MCP:
Quick Primer on Model Context Protocol (MCP)
Enjoy 🙂 !!!
In this primer, we will provide an overview of the popular Python open source asynchronous web framework called Starlette and get our hands dirty by building some simple web backends.
Here is the link to the article on Starlette:
Enjoy 🙂 !!!
In this primer, we will provide an overview of the popular Python open source framework called Gradio and get our hands dirty in building slick web application(s) with just a few lines of Python code.
Here is the link to the article on Gradio:
Enjoy 🙂 !!!
In this article, we will provide code snippets for commonly performed tasks using the popular LLM framework LangChain.
Here is the link to the article on common LangChain recipes:
Enjoy 🙂 !!!
This article needed an update as it was last updated 03/25/2017 !!!
In this revised article, we will introduce how on can get their hands dirty in using Docker.
Here is the link to the article:
Enjoy 🙂 !!!
Today is Pi Day !!! For this special article, we will demonstrate how one can run the Ollama platform on the Raspberry Pi 5 platform.
Here is the link to the article on the steps to run Ollama on Raspberrry Pi 5:
Pi Day Special – Ollama on Raspberry Pi 5
Enjoy 🙂 !!!
This article demonstrates how one can use Method Handles from Java – a better Java reflection mechanism.
Here is the link to the article introducing Method Handles in Java:
Quick Primer on Java Method Handles
Enjoy 🙂 !!!
In this quick primer, we will show the steps one can take to put together the Raspberry Pi 5 (RPi 5) single board computer (SBC) for general computing needs.
Here is the link to the article on the build:
Quick Primer on Raspberry Pi 5 Build
Enjoy 🙂 !!!
Posted my next article on LinkedIn and here is the link:
Hope is useful for others !!!
In this next part of the Deep Learning series, we will explain how a Convolutional Neural Network (CNN) model works and use PyTorch for a practical demonstration to classify images of digits using the MNIST dataset.
Here is the link to the article on Deep Learning using CNN:
Deep Learning – Convolutional Neural Network
Enjoy 🙂 !!!