Seenivasa Ramadurai articles - 83 total
MCP Model Context Protocol vs. Traditional APIs (REST, SOAP, GraphQL, gRPC): The Future of API Communication
In the ever-evolving world of software development, APIs are the backbone of modern applications....
Building an AI Agent Registry Server with FastAPI: Enabling Seamless Agent Discovery via A2A Protocol -Part III
In today’s AI-driven world, intelligent agents are transforming how enterprises operate from chatbots...
Creating A2A Agents with Python: Building a Simple Math Agent - Part II
In this blog post, I'll walk through how I built a simple Agent-to-Agent (A2A) math service using...
Understanding Google's A2A Protocol: The Future of AI Agents Communication -Part I
Introduction In the rapidly evolving landscape of artificial intelligence, the need for...
Function Calling vs. MCP (Model Context Protocol) + A2A: A Clean Architecture Analogy
LLM Function Calling is like embedding business logic directly inside your UI — the Agent (LLM)...
Understanding Blockchain Technology: A Comprehensive Guide
Blockchain has emerged as one of the most groundbreaking technologies of the 21st century. While it’s...
Building a Robust AI Guardrails System with OpenAI-Part II
In today's AI landscape, ensuring responsible **and **safeinteractions with language models has...
Open AI Agents SDK : Unlocking the Future of OpenAI's Game-Changing Agents SDK Update Part-1
OpenAI has just released an exciting new version of their OpenAI Agents SDK, promising to...
MCP – Model Context Protocol: The New Standard for AI Data Connectivity
In the rapidly evolving landscape of artificial intelligence, Large Language Models (LLMs) have...
Building Multi-Agent Systems with LangGraph Swarm: A New Approach to Agent Collaboration
In the rapidly evolving landscape of AI agent architectures, two prominent paradigms have emerged:...
Building Multi-Agent Systems with LangGraph-Supervisor
In today's rapidly evolving AI landscape, creating sophisticated agent systems that collaborate...
Understanding Stacking Ensemble Method: A Comprehensive Guide -PART IV
Introduction In the world of machine learning, ensemble methods have proven to be powerful...
Unleash the Power of Boosting: A Practical Guide to Ensemble Learning - PART III
Boosting with AdaBoost: A Deep Dive into Handwritten Digit Recognition Welcome back! In...
AI Agents and LLM Models: Routers and Gateways for Efficient Management
In my current role as an AI architect, I've faced a recurring challenge, how do we effectively manage...
Unleash the Power of Bagging: A Practical Guide to Ensemble Learning - PART II
Introduction to Bagging in Ensemble Learning Ensemble learning is a powerful machine...
Ensemble Learning -Part I: The Power of Many in Machine Learning
Ensemble Learning: When Many Models Think Better Than One Ensemble learning is a powerful...
Understanding Python’s GIL and Enhancing Concurrency with Multithreading, Multiprocessing, and Asyncio
As a developer, I often find myself juggling multiple tasks and processes. It’s a constant balancing...
Building an AI Agent with MCP-Model Context Protocol(Anthropic's) and LangChain Adapters
Have you ever wanted to create your own AI agent that can write stories, generate images, and search...
MCP – Model Context Protocol: Standardizing AI-Data Access
The world of Generative AI and AI Agents is evolving rapidly, increasing the demand for seamless...
Sentiment Analysis on IMDB Movie Reviews Using BERT
In the ever-evolving world of Natural Language Processing (NLP), sentiment analysis remains a crucial...
Leveraging LangGraph's Send API for Dynamic and Parallel Workflow Execution
Introduction In AI-driven applications, managing dynamic and parallel workflows...
Microsoft Presidio and LangGraph: Enhancing AI Agents with Robust PII Protection and Data Anonymization
In today's data-driven world, protecting personally identifiable information (PII) is crucial for...
LangGraph Subgraphs: A Guide to Modular AI Agents Development
LangGraph’s subgraph feature is a game-changer for building complex AI workflows. It helps break down...
LangGraph Uncovered:AI Agent and Human-in-the-Loop: Enhancing Decision-Making with Intelligent Automation Part -III
In recent years, the integration of AI agents into various business processes has revolutionized how...
Enhancing AI Chatbots with Multimodal Capabilities Using ChromaDB and OpenAI CLIP
Introduction A picture is worth a thousand words, so when we are building AI Agents or...
Unlocking the Power of Large Language Models: Corporate Strategies for Fine-Tuning
Before we dive into the technical details of fine-tuning Large Language Models (LLMs), let’s start...
LangGraph Uncovered: Building Stateful LLM Applications & Enhancing Chatbots with Tools (Part II)
Enhancing Our Chatbot with Tools – Part II In Part I...
LangGraph Uncovered: Building Stateful Multi-Agent Applications with LLMs-Part I
Introduction The field of AI-driven applications is advancing rapidly, with LangGraph...
Title: Segmenting Customers with K-Means Clustering: A Data-Driven Approach to Targeted Marketing
Introduction to Machine Learning Machine learning is all about teaching machines to learn...
RAG: Giving LLMs a Timely and Tailored Education
Large Language Models (LLMs) are impressive, having seemingly absorbed all the knowledge in their...