AI/ML Resources

Three AI Superpowers: Classification AI vs Predictive AI vs Generative AI

Learn the difference between classification, predictive, and generative AI — what they do and how they’re used to sort data, forecast trends, and create content.

April 7, 2025

by Mahesh Ganesamoorthi

· 1,626 Views

Optimizing Natural Language Queries for Multi-Service Information Retrieval

Learn how to optimize natural language queries for orchestrated information retrieval across multiple services using AI, GraphQL, and embedding models.

April 7, 2025

by Abhay Patra

· 2,235 Views · 1 Like

Shift-Right Testing: Smart Automation Through AI and Observability

Shift-right testing uses AI and observability to validate software in production-like environments, helping uncover real-world issues post-release.

April 7, 2025

by Raghavender Vanam

· 2,108 Views · 1 Like

AI-Driven RAG Systems: Practical Implementation With LangChain

This guide explores the fundamentals of RAG and provides a step-by-step LangChain implementation for building scalable, context-aware AI systems.

April 4, 2025

by Rambabu Bandam

· 4,245 Views · 2 Likes

Supercharging LLMs With Knowledge Graphs for Smarter, Fairer AI

KGAT reduces bias in LLMs like GPT-4 by integrating knowledge graphs, enhancing fairness and performance for ethical AI systems.

April 3, 2025

by Rajeev Kumar

· 3,169 Views · 2 Likes

From Zero to Meme Hero: How I Built an AI-Powered Meme Generator in React

Learn how to build an AI meme generator using OpenAI, React, Fabric.js, and DALL-E 3 and create captions, design meme canvases, and optimize costs and performance.

April 3, 2025

by Mohit Menghnani

· 4,319 Views · 3 Likes

AI Protection: Securing The New Attack Frontier

The world is moving toward AI-first products. In this article, we discuss how to defend against sophisticated attacks that target the underlying models.

April 2, 2025

by Aditya Visweswaran

· 3,053 Views

Create Your Own AI-Powered Virtual Tutor: An Easy Tutorial

Build your own AI tutor! Learn how to use NLP, knowledge graphs, reinforcement learning, and speech synthesis to create an adaptive learning assistant.

April 2, 2025

by Achraf Golli

· 4,064 Views · 2 Likes

Why Generative AI Needs Human Oversight to Build Trust

Generative AI is transforming industries, but Trust Calibration and human oversight are key to keeping it accurate, ethical, and reliable.

April 2, 2025

by Richa Taldar

· 3,865 Views · 3 Likes

Maintaining ML Model Accuracy With Automated Drift Detection

This tutorial demonstrates how to implement automated drift detection, triggers alerts, and automatically retrains models to maintain accuracy in production environments.

April 2, 2025

by Jesse Williams

· 2,025 Views · 2 Likes

Safeguarding Sensitive Data: Content Detection Technologies in DLP

Data breaches cost $4.88M on average — learn in this article how DLP content detection protects sensitive data with the help of AI, RegEx, OCR, and more.

April 1, 2025

by Praveen Kumar Myakala

· 2,167 Views · 2 Likes

Generative AI in Agile: A Strategic Career Decision

The cost of experimentation is low; the potential career advantage, on the other side, is substantial. A reason to embrace generative AI in Agile?

April 1, 2025

by Stefan Wolpers

CORE

· 3,447 Views · 3 Likes

Testing AI Is the First Step to Using AI

Sales and marketing professionals in high tech should use AI, but how do you start? There's a crucial first step that often gets skipped: testing.

April 1, 2025

by Jesse Casman

CORE

· 2,138 Views · 2 Likes

Predicting Ad Viewability With XGBoost Regressor Algorithm

This article explores how data-driven decision-making enhances digital advertising, focusing on predicting ad viewability rates using machine learning.

April 1, 2025

by MELTEM TOSUN

· 1,325 Views · 2 Likes

Testing DeepSeek-R1 Locally Using Ollama

Testing DeepSeek-R1 with Ollama for code generation, math solving, creative writing, and Q&A. See how it performs across tasks and where it falls short.

April 1, 2025

by Akmal Chaudhri

CORE

· 1,248 Views

Function Calling and Agents in Agentic AI

Function calling in agentic AI allows autonomous agents to dynamically execute tasks by invoking specific functions based on reasoning and goals.

April 1, 2025

by Bhala Ranganathan

CORE

· 1,253 Views

Supervised and Unsupervised Learning in Machine Learning

Discover the pros and cons, types, applications, and lots more about two common machine learning algorithms: supervised learning and unsupervised learning.

March 31, 2025

by Jennifer Wales

· 1,698 Views · 2 Likes

How Does Video Annotation Augment Computer Vision?

Video annotation is the way in which machines are actually getting the ability to process visual data; this is what closes the gap between AI and real-world applications.

March 31, 2025

by Rayan Potter

· 1,308 Views · 1 Like

Getting Started With LangChain for Beginners

This tutorial demonstrates how to use the LangChain framework to connect with OpenAI and other LLMs, work with various chains, and build a basic chatbot with history.

March 28, 2025

by Amit Chaudhary

· 2,628 Views · 3 Likes

Challenges of Using LLMs in Production: Constraints, Hallucinations, and Guardrails

By integrating post-processing validation, RAG, and customizable guardrails, developers can bridge the gap between prototyping and production in LLM applications.

March 28, 2025

by Shiva Pati

· 2,284 Views

The Latest AI/ML Topics