AI/ML Resources

Learn how to size GPU capacity, batching, and concurrency for strict latency SLOs in production-ready LLM inference with this analysis of queuing theory applications.

February 20, 2026

by Dhyey Mavani

· 2,076 Views

From Prompts to Platforms: Scaling Agentic AI (Part 2)

Agentic AI platforms scale by combining evaluation, resilience, governance, telemetry-driven iteration, low-touch onboarding, and resource management.

February 19, 2026

by VIVEK KATARYA

· 2,087 Views · 1 Like

AWS SageMaker HyperPod: Distributed Training for Foundation Models at Scale

Master distributed training at scale with AWS SageMaker HyperPod's resilient cluster management and high-performance interconnects.

February 19, 2026

by Jubin Soni, FBCS

CORE

· 1,559 Views

Tools for Building Deterministic LLM Systems

LLMs are never deterministic, but with sufficient testing, you can push LLM-driven workflows close to the reliability bar of traditional software.

February 19, 2026

by Cornelius Renken

· 2,782 Views

The Future of Agentic AI

Agentic AI replaces passive chatbots with goal-driven agents, while MCP standardizes tools to enable safe, scalable human-AI collaboration.

February 19, 2026

by John Vester

CORE

· 2,925 Views · 2 Likes

The Developer’s Guide to Local LLMs: Building, Running, and Scaling With Ollama

The article discusses local LLMs through practical examples and, in depth, examines their limitations and specific aspects of real-world use.

February 19, 2026

by Iurii Iurchenko

· 3,023 Views · 5 Likes

Embedding Store as a Platform on AWS: OpenSearch + Bedrock + S3 Needs SLAs, Governance, and Quotas

Vector search is not "just OpenSearch." It just needs to be run as a platform with SLAs, governance, and quotas to control drift, leaks, and out-of-control costs.

February 19, 2026

by Anusha Kovi

CORE

· 1,458 Views · 1 Like

Mastering the Gemini 3 API: Architecting Next-Gen Multimodal AI Applications

Explore Google Gemini 3 API’s architecture, native multimodality, and agentic workflows with a hands-on guide to building a production-ready multimodal AI.

February 18, 2026

by Jubin Soni, FBCS

CORE

· 1,897 Views · 1 Like

Functional Scaffolding for LLM Solutions

Break down LLM-agent workflows into mini-checkpoints with validation and oversight — so you don’t rely on opaque model internals alone.

February 18, 2026

by ganesh s

· 1,628 Views

The Human-in-the-Loop AI: Reviving the Lost Art of Procedure Manuals

In the rush to automate everything, we forgot the most important API: the human operator. Here is an architectural pattern using Gen AI to fix broken documentation.

February 17, 2026

by Dippu Kumar Singh

· 2,118 Views · 1 Like

Beyond Ingestion: Teaching Your NiFi Flows to Think

Stop just moving data with NiFi — make it smarter. Here's how to embed an AI model right into your flow using a Java Custom Processor.

February 17, 2026

by Madhusudhan Dasari

· 1,816 Views · 1 Like

Design and Implementation of Cloud-Native Microservice Architectures for Scalable Insurance Analytics Platforms

How cloud-native microservices transform insurance analytics by enabling scalability, real-time processing, and seamless modernization of legacy platforms.

February 17, 2026

by Afroz Mohammed

· 2,071 Views

The Citizen Developer Boom: How Generative AI Lowers the Barrier to Entry

Traditional "Citizen Development" initiatives often fail due to skill gaps and lack of support. Here's a pattern for democratizing development by using GenAI APIs.

February 17, 2026

by Dippu Kumar Singh

· 1,468 Views · 1 Like

From Prompts to Platforms: Scaling Agentic AI (Part 1)

Scaling agentic AI requires platform-level design: robust messaging, memory, model orchestration, prompts, agent meshes, and safety guardrails, not just better models.

February 17, 2026

by VIVEK KATARYA

· 2,123 Views

AI Transformation Anti-Patterns (And How to Diagnose Them)

AI initiatives fail for the same reasons Agile transformations did: The majority of failures result from people, culture, and processes, not technology.

February 17, 2026

by Stefan Wolpers

CORE

· 1,857 Views · 1 Like

Stop Fine-Tuning for Everything: A Decision Tree for RAG vs Tuning vs Tools

Fine-tuning isn’t the first fix; use RAG for knowledge, tools for control, and fine-tune only after you know the real failure.

February 16, 2026

by Sai Teja Erukude

· 3,518 Views

Building a Self-Correcting GraphRAG Pipeline for Enterprise Observability

Self-correcting GraphRAG uses LangGraph agents to autonomously traverse knowledge graphs and search into a deterministic, multi-hop reasoning system.

February 16, 2026

by Vamshidhar Parupally

· 2,857 Views

Automating the DFIR Triage Loop With Memory Forensics and LLMs

DFIR-Chain automates forensic triage by combining Volatility, YARA, and LLMs to turn artifacts into coherent incident narratives in minutes, not hours.

February 16, 2026

by Rahul Karne

· 10,343 Views

Building Intelligent Agents With MCP and LangGraph

MCP is a universal protocol that lets AI agents discover and use tools from any source without custom integration code like USB-C for AI connectivity.

February 16, 2026

by Narendra Lakshmana gowda

· 2,752 Views

The Death of the CSS Selector: Architecting Resilient, AI-Powered Web Scrapers

Traditional scraping is brittle. Learn to architect self-healing, AI-powered data pipelines using Playwright, AWS Bedrock, and Pydantic for semantic extraction.

February 16, 2026

by Iyanuoluwa Ajao

· 1,854 Views · 1 Like

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