AI/ML Resources

Security Concerns in Open GPTs: Emerging Threats, Vulnerabilities, and Mitigation Strategies

In this article, learn about real-world breaches, risks, and advanced security strategies to safeguard Open GPT deployments against evolving AI threats.

September 12, 2025

by Vijay Oggu

· 1,939 Views · 1 Like

AI for Data Cleaning: How AI Can Clean Your Data and Save You Hours and Money

The use of AI in data cleansing involves identifying and eliminating irrelevant and missing data to maintain clean datasets, free from outliers and errors.

September 12, 2025

by Prasanna Chitanand

· 1,797 Views · 2 Likes

Quantum Machine Learning (QML) for Developers: A Beginner's Guide

In this beginner-friendly guide, learn how quantum machine learning with PennyLane, Qiskit, TFQ, and Cirq enhances AI with speed, security, and optimization.

September 12, 2025

by Chandrasekhar Rao Katru

· 2,470 Views · 7 Likes

Securing LLM Applications: Beyond the New OWASP LLM Top 10

The new OWASP LLM Top 10 highlights vulnerabilities unique to LLMs. However, operationalizing LLM security means weaving safeguards beyond just referencing a checklist.

September 11, 2025

by Abhishek Goswami

· 2,922 Views · 2 Likes

Azure VM Instance Types and Their Roles in Different Distributed Software Systems

Azure provides various VM instance types optimized for compute, memory, storage, or GPU needs, such as Databricks, Snowflake, AKS, Synapse, and Azure Functions.

September 11, 2025

by Srinivasarao Rayankula

· 19,564 Views · 3 Likes

The AI Precision Anti-Pattern

Learn why to avoid the Generative AI Precision Anti-Pattern and why LLMs fail on deterministic tasks, and how to align the right tools with the right jobs.

September 11, 2025

by Stefan Wolpers

CORE

· 1,782 Views · 1 Like

AI on the Fly: Real-Time Data Streaming From Apache Kafka to Live Dashboards

Real-time data streaming plays a key role for AI models as it allows them to handle and respond to data as it comes in, instead of just using old fixed datasets.

September 11, 2025

by Gautam Goswami

CORE

· 7,008 Views

Toward Explainable AI (Part 9): Bridging Theory and Practice—Conclusion: Explainability Under Real-World Conditions

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

September 11, 2025

by Frederic Jacquet

CORE

· 2,127 Views · 2 Likes

Supercharging Your Chatbot With Context-Aware AI on AWS

Tired of chatbots that feel like scripts? Learn how to build a context-aware, AI-powered chatbot that remembers, responds, and scales as per need.

September 10, 2025

by Jyostna Seelam

· 5,191 Views

Vibe Coding: Conversational Software Development — Part 4: Guiding AI Through Iteration

In part 4 of my 'Vibe Coding' series, learn more about conversational coding, code generation from prompts, and the future of developer productivity.

September 10, 2025

by Gaurav Gaur

CORE

· 3,394 Views · 2 Likes

An Introduction to Artificial Intelligence: Neural Networks, NLP, and Word Embeddings

From a single neuron to understanding language, this article provides a short introduction to artificial intelligence for software engineers.

September 10, 2025

by Ioan Tinca

· 1,857 Views · 1 Like

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

· 3,199 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

· 1,631 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

· 2,737 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

· 1,415 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

· 1,356 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

· 2,228 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

· 2,219 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

· 2,626 Views · 2 Likes

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