AI/ML Resources

LLM Agents and Getting Started with Them

As LLM agents take the center stage in 2026, let's discuss what are LLM agents and how to get started with creating one.

May 25, 2026

by Harshita Asnani

· 1,594 Views

A Deep Dive into Tracing Agentic Workflows (Part 1)

Agentic systems fail silently — loops, hallucinations, corrupted state. You can't debug or improve what you don't trace.

May 22, 2026

by VIVEK KATARYA

· 3,190 Views · 1 Like

What Nobody Tells You About Multimodal Data Pipelines for AI Training

Hard lessons from building multimodal data pipelines at scale — the unglamorous work where most AI projects quietly fall apart.

May 22, 2026

by Yunfei Zhao

· 2,538 Views

Why AI-Generated Code Breaks Your Testing Assumptions

AI generates code faster than tests can cover. Coverage stays green while gaps grow. Treat AI code as untested by default and scale testing to match generation speed.

May 22, 2026

by Oliver Howard

· 2,978 Views

From Data Movement to Local Intelligence: The Shift from Centralized to Federated AI

Centralized AI moves data to models; federated AI moves models to data — enabling real-time, privacy-preserving learning across distributed systems.

May 22, 2026

by Jitendra Bafna

· 2,175 Views · 1 Like

Why Knowing Your LLM Hallucinated Is Not Enough

"Hallucinated: true" tells you something went wrong. Typed detection tells you which subsystem failed, why it failed, and how to fix it.

May 22, 2026

by Praveen Kumar Myakala

· 1,854 Views · 1 Like

11 Agentic Testing Tools to Know in 2026

This article is a review of tools used to autonomously plan, generate, maintain, and execute tests.

May 22, 2026

by Alvin Lee

CORE

· 2,901 Views

Stop Poisoning Your Models: How I Built a CV Dataset Quality Toolkit I Can Reuse Forever

CV data issues keep recurring. I built cv-quality — a toolkit to audit datasets, catch annotation errors, find mislabeled samples, and streamline labeling.

May 22, 2026

by Sai Teja Erukude

· 4,471 Views

Self-Hosted Inference Doesn’t Have to Be a Nightmare: How to Use GPUStack

GPUStack is an open-source tool that turns a bunch of scattered GPU machines into one managed cluster for deploying AI models behind an OpenAI-compatible API.

May 21, 2026

by Sandeep Sadarangani

· 4,133 Views · 1 Like

Throughput vs Goodput: The Performance Metric You Are Probably Ignoring in LLM Testing

See the difference between throughput and goodput, and why throughput alone can give you a dangerously false sense of confidence.

May 21, 2026

by NaveenKumar Namachivayam

CORE

· 3,328 Views

Fact-Checking LLM Outputs Programmatically: Building a Verification Layer That Catches Hallucinations

LLMs confidently hallucinate plausible data and asking them to "be careful" doesn't fix it. The most effective safeguard is an automated verification layer.

May 21, 2026

by Raviteja Nekkalapu

· 1,721 Views

Dear Micromanager: Your Distrust Has a Job; It’s Just Not the One You’re Doing

Dear micromanager, your distrust has a job — it’s just not the one you’re doing; learn about the role of the Verification Architect.

May 21, 2026

by Stefan Wolpers

CORE

· 2,637 Views

AI Agents in Java: Architecting Intelligent Health Data Systems

This article explores designing AI agents in Java for intelligent healthcare systems using event-driven architectures for secure, scalable data processing.

May 20, 2026

by Ramya vani Rayala

· 1,945 Views · 1 Like

No More Cheap Claude: 4 First Principles of Token Economics in 2026

The era of subsidies is over. Adjust your way of using models accordingly.

May 20, 2026

by Stefan Wolpers

CORE

· 2,894 Views

Beyond Chatbots: How AI Is Rewriting Entire Business Models

In this article, we will be talking about how Artificial Intelligence is going far beyond chatbots and is actively rewriting entire business models across industries.

May 20, 2026

by Anita Shah

· 1,358 Views

Context Is the New Schema

Explains context engineering as a structured approach to managing AI context, drawing parallels to dimensional modeling to improve reliability and consistency.

May 20, 2026

by Sibanjan Das

· 932 Views

How AI Coding Assistants Are Changing Developer Flow

In this article, I want to share our team's experience in applying AI to accelerate development, covering both the benefits and risks.

May 20, 2026

by Mykhailo Kopyl

· 1,513 Views

Improving DAG Failure Detection in Airflow Using AI Techniques

A practical approach to enhancing DAG failure detection using AI to improve pipeline reliability and enable proactive intervention in large-scale data environments.

May 19, 2026

by Bruno Bocardo Guzoni

· 2,256 Views · 1 Like

Agentic Testing: Moving Quality From Checkpoint to Control Layer

Learn how agentic testing reshapes QA by adding governance, traceability, and accountability to AI-driven workflows, ensuring speed doesn’t compromise quality.

May 19, 2026

by Kailash Pathak

CORE

· 1,885 Views

S3 Vectors: How to Build a RAG Without a Vector Database

You don't need a vector database anymore. S3 Vectors gives you native vector storage + similarity search, serverless, at up to 90% less cost

May 19, 2026

by Jubin Soni, FBCS

CORE

· 1,586 Views

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