AI/ML Resources

Tutorial: RAG at Scale With Vector Databases vs Lakehouse Architectures

Learn how to scale RAG pipelines by storing embeddings in vector databases vs. lakehouses, with hands-on examples and key trade-offs.

September 9, 2025

by Vivek Venkatesan

· 3,211 Views

Probably Secure: A Look at the Security Concerns of Deterministic vs Probabilistic Systems

Learn why deterministic security remains essential in an AI-driven world and how to combine probability and proof for safe, auditable development with LLMs.

September 9, 2025

by Dwayne McDaniel

· 1,633 Views · 1 Like

Is Your AI a Psychopath?

AI’s bugs aren’t code errors but symptoms of a broken 'mind.' LLMs show psychopathic traits: fragmented selves, weak brakes, and reward obsession.

September 9, 2025

by Taras Baranyuk

CORE

· 2,738 Views

Toward Explainable AI (Part 8): Bridging Theory and Practice—SHAP: Powerful, But Can We Trust It?

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

September 9, 2025

by Frederic Jacquet

CORE

· 1,422 Views · 2 Likes

Stop Your GenAI From Burning Cash in Production

GenAI in production is expensive, but most teams waste 60-80% of their budget on preventable mistakes. Five proven optimizations that cut costs by 40-75%

September 8, 2025

by Praveen Chinnusamy

· 23,991 Views · 4 Likes

Building an AI-Powered Insurance Q and A Assistant With RAG and Snowflake Cortex

This project shows how to create an AI-powered insurance Q&A assistant using Retrieval-Augmented Generation and Snowflake Cortex Search for accurate answers.

September 8, 2025

by munikrishnaiah sundararamaiah

· 1,357 Views · 2 Likes

Getting Started With ClickHouse for AI/ML in Python

ClickHouse is a high-performance, column-oriented OLAP database designed to handle petabyte-scale data with lightning-fast query execution.

September 8, 2025

by Devdas Gupta

· 2,231 Views · 3 Likes

Meta Prompting for Agile Practitioners

Learn how meta prompting turns AI into a partner for Retrospective prep—shaping context-rich dialogue while keeping facilitation a human skill.

September 5, 2025

by Stefan Wolpers

CORE

· 2,220 Views · 3 Likes

Measuring What Matters: A Strategic Lens on Transformation Metrics

Track Agile-DevOps and AI-first transformations effectively by selecting the right metrics—balancing output/outcome, leading/lagging, and subjective/objective measures.

September 5, 2025

by Suman Das

· 2,631 Views · 2 Likes

Build a RAG Application With LangChain and Local LLMs Powered by Ollama

Learn how to run local LLMs with Ollama and Azure Cosmos DB for RAG, ensuring data privacy, offline use, and full control of your AI workflow.

September 5, 2025

by Abhishek Gupta

CORE

· 3,231 Views · 1 Like

Toward Explainable AI (Part 7): Bridging Theory and Practice—SHAP: Bringing Clarity to Financial Decision-Making

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

September 5, 2025

by Frederic Jacquet

CORE

· 3,190 Views · 2 Likes

How to Use AI to Enhance Scrum Ceremonies

This article cites some trends on Scrum and AI usage and provides details on how AI tools can help automate Scrum ceremonies without impacting human values.

September 4, 2025

by Arpit Garg

· 3,595 Views · 2 Likes

Protecting PII in LLM Applications: A Complete Guide to Data Anonymization

One of the biggest concerns companies face when implementing Large Language Models (LLMs) is data privacy and protection.

September 4, 2025

by Swati Tyagi

· 12,317 Views · 1 Like

Building AI Agents? 5 Critical Questions to Ask Before You Automate

Five essential questions to ask before deploying AI agents, focused on data, context, trust, governance, and real-world readiness.

September 4, 2025

by Pradeep Kumar Sharma

· 2,130 Views

Take AI Out of Your Silos—Why Team Experience Trumps Developer Tools

Stop optimizing individual dev tools with AI. Team workflows need AI that carries context end-to-end, not another siloed copilot that makes you its secretary.

September 4, 2025

by Michael Smith

· 1,710 Views · 1 Like

Active Learning and Human-in-the-Loop for NLP Annotation and Model Improvement

A practical guide to using active learning and human-in-the-loop workflows for efficient NLP annotation, model training, and continuous improvement.

September 4, 2025

by Surya Teja Appini

· 2,470 Views · 5 Likes

DSLs vs. Libraries: Evaluating Language Design in the GenAI Era

Compare general-purpose and domain-specific languages, their AI-driven evolution, and how they optimize data pipelines and trading workflows efficiently.

September 3, 2025

by Raghav Talwar

· 2,837 Views · 1 Like

Toward Explainable AI (Part 6): Bridging Theory and Practice—What LIME Shows – and What It Leaves Out

Explainable AI bridges the gap between complex models and real-world accountability, helping teams build trust, ensure compliance, and make smarter decisions.

September 3, 2025

by Frederic Jacquet

CORE

· 2,013 Views

Technical Deep Dive: Scaling GenAI-Enhanced SBOM Analysis from Trivy Fix to Enterprise DevSecOps

Discover how Trivy PR #9224 enables complete SBOM dependency mapping, powering GenAI-driven DevSecOps automation and millions in enterprise cost savings.

September 2, 2025

by Ravi Sastry Kadali

· 2,603 Views · 1 Like

PII Leakage Detection and Measuring the Accuracy of Reports and Statements Using Machine Learning

Securing sensitive data and validating the correctness of reports and statements by checking for inconsistencies with machine learning capabilities.

September 2, 2025

by Malai Arasu Paneerselvam

· 2,120 Views · 4 Likes

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