AI/ML Resources

Small Language Models as Control Planes to Steer Complex Systems

Small language models don't just answer questions; they can act as the "control brain" that routes work across services, tools, and larger models.

December 29, 2025

by Sai Teja Erukude

· 4,645 Views

The Architecture of Prompts: Designing Reliable, Deterministic AI Systems

Prompts are engineered systems with five layers that produce deterministic, production-ready code instead of unreliable AI outputs.

December 26, 2025

by Mohan Sankaran

· 3,377 Views · 9 Likes

A Principled Framework for Scalable Experimentation and Reliable A/B Testing

Scalable experimentation framework enabling rigorous A/B testing, reliable metrics, and data-driven decisions across engineering teams.

December 25, 2025

by Sayantan Ghosh

· 19,693 Views · 1 Like

AI-Driven Schema Evolution and Adaptive Pipelines

AI-driven schema evolution enables self-healing data pipelines that autonomously detect, adapt to, and govern continuous schema changes for reliable enterprise analytics.

December 25, 2025

by Rambabu Bandam

· 2,531 Views · 1 Like

Autonomous Pipelines: Transforming CI/CD With Full Automation

The future of CI/CD is about moving beyond simple automation to truly intelligent, autonomous systems and code flows that flow seamlessly and safely to production.

December 25, 2025

by Lakshmi Prasad Rongali

· 2,086 Views · 2 Likes

Blockchain + AI Integration: The Architecture Nobody's Talking About

Blockchain-AI integration demands new architectures: off-chain computation with on-chain verification, solving trust issues in decentralized intelligent systems.

December 23, 2025

by Dinesh Elumalai

CORE

· 3,613 Views · 2 Likes

Phantom APIs: The Security Nightmare Hiding in Your AI-Generated Code

Phantom APIs are now emerging through AI-generated code, creating hidden attack surfaces. Learn how they form and how to detect them before attackers do.

December 22, 2025

by Igboanugo David Ugochukwu

CORE

· 3,251 Views · 3 Likes

LLMOps Explained: How It Works, Key Benefits, and Best Practices

This article discusses LLMOps, how it works, key benefits, and best practices to streamline large language model operations for efficiency and scalability.

December 22, 2025

by Lilly Gracia

· 1,633 Views · 1 Like

Fortifying Cloud Security Operations with AI-Driven Threat Detection

Transforming cloud security operations by leveraging predictive and intelligent automation for faster, smarter threat detection and response.

December 19, 2025

by Atish Kumar Dash

· 1,386 Views · 1 Like

Technology Evolution From Traditional Automation to AI-Driven MCP Servers

AI-driven Multi-Cloud Platform (MCP) servers marks a shift from rigid, rule-based workflows to adaptive, intelligent systems.

December 19, 2025

by Shivi Kashyap

· 2,352 Views · 1 Like

Looking at the Evolving Landscape of ITSM Through the Lens of AI

Elevating the ITSM Experience with Intelligent Workflows, Predictive Insights, and Autonomous Service Experiences for Smarter IT Operations.

December 18, 2025

by Atish Kumar Dash

· 1,411 Views · 1 Like

Building AI Agents Using Docker cagent and GitHub Models

This article discusses the power of quickly building AI agents using the Docker cagent framework, along with integrating GitHub Models to avoid vendor lock-in.

December 18, 2025

by Naga Santhosh Reddy Vootukuri

CORE

· 3,060 Views · 1 Like

We Taught AI to Talk — Now It's Learning to Talk to Itself: A Deep Dive

Human-crafted prompts are becoming obsolete. The future of AI lies in "Intent Engineering," where AI systems generate and optimize their own prompts internally.

December 18, 2025

by Nidhi Sharma

· 2,671 Views · 1 Like

Why Your UEBA Isn't Working (and How to Fix It)

Traditional UEBA can't catch modern threats. Learn how AI-powered behavioral analytics detects sophisticated attacks instantly without months of training.

December 18, 2025

by Alvin Lee

CORE

· 1,237 Views · 1 Like

Infrastructure as Code: How Automation Evolved to Power AI Workloads

Learn about how Infrastructure as Code progressed in 2025 and how it helped automation, particularly for provisioning AI infrastructure.

December 18, 2025

by Vidyasagar (Sarath Chandra) Machupalli FBCS

CORE

· 2,362 Views · 3 Likes

Agentic AI in Cloud-Native Systems: Security and Architecture Patterns

Agentic AI adds autonomy to cloud-native systems, enabling provisioning and remediation. Learn about risks and patterns to secure safe adoption.

December 18, 2025

by Harvendra Singh

· 1,387 Views · 1 Like

Why Your AI Transformation is Broken

What digital transformation taught us and how applying those lessons can restore focus and momentum to your AI transformation strategy.

December 17, 2025

by Jason Bloomberg

· 1,367 Views · 3 Likes

How AI Search Solves the Problem of Working With Unstructured Data

Up to 90% of business data is unstructured. AI search uses NLP and semantic understanding to interpret user intent and find conceptually similar content.

December 17, 2025

by Sergey Laptick

· 1,086 Views · 2 Likes

Model Context Protocol: The Missing Layer in Agentic AI

How the Model Context Protocol is becoming the foundational layer that enables AI agents to interact with tools, systems, and data consistently and at scale.

December 17, 2025

by Atish Kumar Dash

· 1,336 Views · 1 Like

Agentic AI Design Patterns and Principles: Building Autonomous, Collaborative Systems

Explore how Agentic AI design principles and patterns turn static automation into adaptive, goal-driven systems that can reason, learn, and collaborate.

December 17, 2025

by Devdas Gupta

· 2,709 Views · 2 Likes

The Latest AI/ML Topics