AI/ML Resources

Building a Real-Time AI-Powered Workplace Safety System

In this article, we'll show you how we built a real-time AI safety system that monitors workplace ergonomics using Python, MediaPipe, and OpenCV.

March 14, 2025

by Chidozie Managwu

· 4,342 Views · 2 Likes

DeepSeek on Kubernetes: AI-Powered Reasoning at Scale

Deploy DeepSeek-R1 on Kubernetes using Ollama for inference and Open WebUI for seamless interaction. Supports local setups like KIND or cloud deployment.

March 14, 2025

by Rajesh Gheware

CORE

· 5,823 Views · 3 Likes

Securing Conversations With LLMs

In this article, we will explore how cloud-native open-source tools can be used to filter sensitive information both entering and exiting the models.

March 13, 2025

by Siri Varma Vegiraju

CORE

· 16,378 Views

The Impact of AI Agents on Modern Workflows

AI agents will transform traditional workflows, making them more dynamic, self-optimizing, and intelligent for greater efficiency and innovation.

March 13, 2025

by Bhala Ranganathan

CORE

· 4,980 Views · 2 Likes

AI-Driven Self-Healing Tests With Playwright, Cucumber, and JS

Self-healing for automation testing significantly reduces maintenance by automatically adapting to changes in the application's user interface.

March 13, 2025

by Priya Yesare

· 9,961 Views · 2 Likes

Build a DIY AI Model Hosting Platform With vLLM

vLLM is an open-source tool that helps with hosting AI models using an efficient inference engine. It can be used to power LLMs in real products and services.

March 12, 2025

by Bhala Ranganathan

CORE

· 5,704 Views · 1 Like

Chat History for AI Applications With Azure Cosmos DB Go SDK

Build a chat history implementation with Azure Cosmos DB for NoSQL Go SDK and LangChainGo, enhancing LLM context and enabling efficient testing with Testcontainers.

March 12, 2025

by Abhishek Gupta

CORE

· 4,057 Views · 3 Likes

Enhanced Monitoring Pipeline With Advanced RAG Optimizations

A refined RAG pipeline integrates advanced observability, rigorous evaluation metrics, end-to-end security, performance optimizations, and production-ready features.

March 11, 2025

by Praveen Kumar Thopalle

· 6,299 Views

The LLM Advantage: Smarter Time Series Predictions With Less Effort

LLMs simplify time series forecasting by handling messy data and context. Combined with stats, they cut errors by 31%, delivering better, easier forecasts.

March 11, 2025

by Vinoth Manamala Sudhakar

· 6,208 Views · 2 Likes

How to Build a ChatGPT Super App

SingleStore's database integrates LLMs to enhance contextual insights, supporting advanced customer engagement in applications like chatbots.

March 10, 2025

by Akmal Chaudhri

CORE

· 4,493 Views · 4 Likes

ETL With Large Language Models: AI-Powered Data Processing

LLMs transform ETL with schema-less extraction, adaptive transformations, and multi-modal support, enabling scalable, efficient, and accessible data workflows.

March 10, 2025

by Suri (thammuio)

CORE

· 31,966 Views · 1 Like

Generative AI Agents: Transforming Supply Chain Management

LLMs are transforming supply chain management through orchestrated specialized agents that enhance forecasting, planning, and decision-making.

March 10, 2025

by Meghana Puvvadi

· 4,473 Views

Real-Time Fraud Detection Using AI and Machine Learning

Real-time fraud detection using AI and ML techniques like behavioral analytics, device fingerprinting, and risk scoring.

March 10, 2025

by Milavkumar Shah

· 14,312 Views · 1 Like

Soaking in the Pressure of Using AI

This article provides a framework for architects and development teams on how to make wise decisions on building AI powered solutions for business problems.

March 10, 2025

by Rahul Sharma

· 1,860 Views

Is AI Responsible for Its Actions, or Should Humans Take the Blame?

AI isn’t responsible — humans are. It’s just a tool that follows our rules. If AI fails, it’s because of how we built, trained, or used it.

March 10, 2025

by Manas Dash

CORE

· 3,132 Views · 3 Likes

Floyd's Cycle Algorithm for Fraud Detection in Java Systems

Floyd’s Cycle Algorithm detects cyclic patterns in graphs to help identify fraudulent transaction loops in financial systems and prevent money laundering.

March 7, 2025

by Sulakshana Singh

· 7,301 Views · 1 Like