AI/ML Resources

A Developer's Practical Guide to Support Vector Machines (SVM) in Python

Learn how to build, tune, and evaluate high-performance SVM models in Python using Scikit-learn with best practices for scaling, pipelines, and ROC-AUC.

October 29, 2025

by Soumya Banerjee

· 2,599 Views · 2 Likes

HSTS Beyond the Basics: Securing AI Infrastructure and Modern Attack Vectors

HTTP Strict Transport Security (HSTS) is a web security policy mechanism that helps protect websites against protocol downgrade attacks and cookie hijacking.

October 29, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,172 Views · 4 Likes

Building Cloud Ecosystems With Autonomous AI Agents: The Future of Scalable Data Solutions

Autonomous AI agents transform cloud ecosystems by automating data workflows, enhancing scalability, governance, and real-time analytics for resilient operations.

October 28, 2025

by Aravind Nuthalapati

CORE

· 10,535 Views · 1 Like

Production-Ready Multi-Agent Systems: From Theory to Enterprise Deployment

Learn in this article why single AI agents fail and how multi-agent systems used by Uber, LinkedIn, and Klarna achieve 3x faster performance and 40% lower costs.

October 28, 2025

by Praveen Chinnusamy

· 24,283 Views · 2 Likes

Amazon Bedrock Guardrails for GenAI Applications

Guardrails let you create responsible AI policies for generative AI apps. Set limites on topics and content, filter to block or mask unwanted outputs, then apply, test, and version guardrails across models for safety and consistency.

October 28, 2025

by Prabhakar Mishra

· 2,507 Views

Unpacking MCP Security: What You Need to Know

MCP supercharges AI agents by bridging LLMs and real-world tools, but may open the door to security gaps. A quick look at security challenges and how to resolve them.

October 28, 2025

by Rushil Shah

· 1,701 Views

Using Schema Registry to Manage Real-Time Data Streams in AI Pipelines

Learn how schema registries ensure data consistency, integrity, and scalability in real-time AI pipelines using Apache Kafka and modern streaming tools.

October 27, 2025

by Gautam Goswami

CORE

· 2,447 Views · 3 Likes

Anthropic’s Model Context Protocol (MCP): A Developer’s Guide to Long-Context LLM Integration

Anthropic’s Model Context Protocol (MCP) standardizes how AI applications provide context to LLMs. Learn more about MCP and its practical uses.

October 27, 2025

by Naresh Dulam

· 5,753 Views · 4 Likes

Series (1/4): Toward a Shared Language Between Humans and Machines — Why Machines Still Struggle to Understand Us

The absence of lived experience and a "world model" in current algorithms creates a deep divide between human intention and algorithmic operation.

October 27, 2025

by Frederic Jacquet

CORE

· 2,071 Views · 2 Likes

Enterprise-Grade Document Intelligence: Cloud Big Data AI With YOLOv9 and Spark on AWS

Automate document analysis with YOLOv9, Apache Spark, and AWS. Boost speed, accuracy, and fraud detection across finance, healthcare, insurance, and more.

October 27, 2025

by Ram Ghadiyaram

CORE

· 2,539 Views · 4 Likes

Kubernetes Debugging Recipe: Practical Steps to Diagnose Pods Like a Pro

Adopt step-by-step debugging with kubectl, ephemeral containers, and AI-powered RCA to find root causes faster. Add predictive autoscaling and anomaly detection.

October 24, 2025

by Chandrasekhar Rao Katru

· 4,780 Views · 8 Likes

Cloud Agnostic MLOps: How to Build and Deploy AI Models Across Azure, AWS, and Open Source

Avoid cloud lock-in when building AI. Learn how to use open-source MLOps tools like Airflow, Kubeflow, and MLflow to build, deploy, and monitor models anywhere.

October 24, 2025

by Raghava Dittakavi

CORE

· 3,417 Views · 1 Like

I Built a Full Stack App Using Only Vibe Coding Prompts: Here’s What Happened

Discover how “vibe coding” blends instinct, experience, and AI assistance to unlock a new developer mindset that balances creativity, flow, and precision.

October 24, 2025

by Jyothsna devi

· 5,720 Views · 3 Likes

AI Won't Replace Front-End Developers, It'll Replace the Boring Parts

AI won't replace frontend developers. Rather, it will replace the tedious, repetitive work that often drains our creativity.

October 23, 2025

by Ajay Yadav

· 5,309 Views · 3 Likes

LangGraph Beginner to Advanced: Part 2 — Hello World Graph in LangGraph

We’re actually about to start coding in LangGraph for the very first time. Now that we’ve covered all the theory, admittedly, the boring section.

October 23, 2025

by Mohammed Talib

· 2,492 Views · 1 Like

Series: Toward a Shared Language Between Humans and Machines

Modern LLMs are fluent, but lack "world experience." We must explore the foundations needed for genuine common ground between human meaning and machine logic.

October 23, 2025

by Frederic Jacquet

CORE

· 1,651 Views · 3 Likes

Fundamentals of Logic Hallucinations in AI-Generated Code

Learn how AI tools can generate logical errors in code, tests, and architecture, and discover ways to detect and prevent these hallucinations.

October 23, 2025

by Stelios Manioudakis

CORE

· 9,075 Views · 2 Likes

How to Build an MCP Server and Client With Spring AI MCP

Benefit from a cohesive system where individual components, such as LLM, MCP server, and MCP client, integrate seamlessly to deliver meaningful results.

October 23, 2025

by Horatiu Dan

CORE

· 3,777 Views · 6 Likes