AI/ML Resources

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

· 4,023 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

· 5,998 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

· 5,190 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

· 3,570 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

· 7,051 Views · 44 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

· 5,086 Views · 6 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

· 2,837 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

· 1,945 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

· 1,864 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

· 3,018 Views · 1 Like

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

· 2,385 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

· 1,893 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

· 5,073 Views · 5 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 kumar Pati

· 3,208 Views · 1 Like

Accurate Quantitative Analysis With ChatGPT and Azure AI Hub

I asked ChatGPT the question, ‘9.9 or 9.11, which is bigger?’ ChatGPT alone answered incorrectly, but with the help of Python, it provided the correct answer: 9.9.

March 27, 2025

by Sanjeev Kumar

· 3,707 Views · 1 Like

Self-Healing Data Pipelines: The Next Big Thing in Data Engineering?

Build self-healing data pipelines on GCP using AI-powered tools like GPT-4 and Python to detect and fix errors automatically.

March 27, 2025

by Naresh Erukulla

· 9,642 Views

XAI: Making ML Models Transparent for Smarter Hiring Decisions

Explainable AI (XAI) lifts the veil on machine learning in recruiting, showing why candidates get scored or rejected — like skills mismatches or low experience.

March 27, 2025

by Pankaj Khurana

· 15,609 Views · 1 Like

Creating an Application With a Personality

Learn how to create an AI assistant with LangChain4j in a Spring Boot application, which personalizes the application itself and has access to its actuators.

March 27, 2025

by Tamas Kiss

· 3,841 Views · 1 Like

Breaking the Context Barrier of LLMs: InfiniRetri vs RAG

InfiniRetri retrieves information internally using LLM attention, while RAG retrieves it externally. The future may lie in hybrid approaches combining both strengths.

March 27, 2025

by Graziano Casto

CORE

· 2,425 Views · 1 Like

The Future of DevOps

Learn about Infrastructure as Code (IaC) predictions for 2025, from AI-driven drift management to cost optimization, platform engineering, and multi-framework trends.

March 27, 2025

by Omry Hay

· 3,926 Views · 3 Likes

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