AI/ML Resources

Debunking LLM Intelligence: What's Really Happening Under the Hood?

Debunk LLM 'reasoning.' Go 'under the hood' to uncover the computational reality of AI's language abilities. It's about statistical power, not human thought.

June 18, 2025

by Frederic Jacquet

CORE

· 3,817 Views · 8 Likes

From OCR Bottlenecks to Structured Understanding

OCR errors cascade through RAG pipelines, killing performance. SmolDocling (256M params) processes docs holistically → structured output → better RAG.

June 18, 2025

by Pier-Jean MALANDRINO

CORE

· 2,398 Views · 3 Likes

Elevating LLMs With Tool Use: A Simple Agentic Framework Using LangChain

Build a smart agent with LangChain that allows LLMs to look for the latest trends, search the web, and summarize results using real-time tool calling.

June 17, 2025

by Arjun Bali

· 2,947 Views · 3 Likes

AI's Cognitive Cost: How Over-Reliance on AI Tools Impacts Critical Thinking

Learn how over-reliance on AI tools impacts critical thinking, with insights from Michael Gerlich's 2025 study on cognitive offloading and AI usage trends.

June 17, 2025

by Srinivas Chippagiri

CORE

· 17,058 Views · 3 Likes

Driving Streaming Intelligence On-Premises: Real-Time ML With Apache Kafka and Flink

This article explores how to design, build, and deploy a predictive ML model using Flink and Kafka in an on-premises environment to power real-time analytics.

June 17, 2025

by Gautam Goswami

CORE

· 1,981 Views · 6 Likes

Why 99% Accuracy Isn't Good Enough: The Reality of ML Malware Detection

ML models need to be complemented with traditional detection techniques for malware detection to work in real enterprise environments, due to the "base rate problem."

June 16, 2025

by Udbhav Prasad

· 2,413 Views · 5 Likes

Scrum Smarter, Not Louder: AI Prompts Every Developer Should Steal

A practical guide that helps developers use AI to improve backlog grooming, retros, standups, and reviews, without waiting for the Scrum Master to save the sprint.

June 16, 2025

by Ella Mitkin

· 4,610 Views · 9 Likes

AI Agents in PHP With Model Context Protocol

Supercharge your PHP applications with AI Agents using MCP (Model Context Protocol). Connect powerful tools to LLMs with minimal coding.

June 16, 2025

by Valerio Barbera

· 1,312 Views · 3 Likes

Create POM With LLM (GitHub Copilot) and Playwright MCP

Learn how to build a scalable, AI-powered test automation framework using Playwright MCP, GitHub Copilot, and the Page Object Model design pattern.

June 13, 2025

by Kailash Pathak

CORE

· 4,860 Views · 5 Likes

Smarter IoT Systems With Edge Computing and AI

IoT Systems can be enhanced and improved in terms of efficiency through the use of artificial intelligence and edge computing

June 13, 2025

by Surendra Pandey

· 2,689 Views · 3 Likes

AI Agent Architectures: Patterns, Applications, and Implementation Guide

AI agent architectures provide structural blueprints for designing intelligent systems that perceive environments, process information, and execute actions.

June 13, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 6,950 Views · 7 Likes

When Incentives Sabotage Product Strategy

Learn in this article how to tackle incentives sabotaging product strategy with strategic rejection techniques that align goals, improve focus, and build trust.

June 13, 2025

by Stefan Wolpers

CORE

· 1,793 Views · 5 Likes

RAG vs. CAG: A Deep Dive into Context-Aware AI Generation Techniques

RAG retrieves external knowledge to ground AI responses, while CAG uses internal context for personalization—combine both for smarter, context-aware systems.

June 13, 2025

by Rambabu Bandam

· 4,288 Views · 2 Likes

The Missing Infrastructure Layer: Why AI's Next Evolution Requires Distributed Systems Thinking

Let's explore how investing in proven AI infrastructure yields a competitive advantage over those who continue trying to solve infrastructure problems at the app layer.

June 12, 2025

by John Vester

CORE

· 2,356 Views · 3 Likes

Designing Scalable Multi-Agent AI Systems: Leveraging Domain-Driven Design and Event Storming

Use Domain-Driven Design and Event Storming to define agent roles, boundaries, and scalable architectures for complex Multi-Agent AI Systems aligned with business needs.

June 12, 2025

by Kaustav Dey

· 4,524 Views · 3 Likes

AI-Native Platforms: The Unstoppable Alliance of GenAI and Platform Engineering

The future of software development involves an AI-powered DevEx. This marks the end of static platforms and the dawn of an intelligent era.

June 11, 2025

by Graziano Casto

CORE

· 3,029 Views · 2 Likes

Building Generative AI Services: An Introductory and Practical Guide

Amazon Bedrock simplifies AI app development with serverless APIs, offering Q&A, summarization, and image generation using top models like Claude and Stability AI.

June 11, 2025

by Srinivas Chippagiri

CORE

· 18,480 Views · 13 Likes

Software Specs 2.0: An Elaborate Example

Learn how to define precise, secure, and testable requirements for an AI-generated User Authentication Login Endpoint with structured documentation

June 11, 2025

by Stelios Manioudakis

CORE

· 7,429 Views · 4 Likes

Integrating Cursor and LLM for BDD Testing With Playwright MCP (Model Context Protocol)

Learn in this article how BDD, AI-powered Cursor, and Playwright MCP simplify test automation, enabling faster, smarter, and more collaborative workflows.

June 11, 2025

by Kailash Pathak

CORE

· 3,640 Views

Cognitive Architecture: How LLMs Are Changing the Way We Build Software

LLMs are transforming software design by enabling cognitive, agent-driven systems that reason and act, moving beyond traditional, rigid architectures.

June 11, 2025

by Graziano Casto

CORE

· 2,655 Views · 2 Likes

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