AI/ML Resources

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

· 2,018 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

· 5,438 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 Shiv Kumar

· 3,325 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

· 3,887 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

· 10,014 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

· 15,780 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

· 3,939 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

· 2,575 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

· 4,092 Views · 3 Likes

How to Port CV/ML Models to NPU for Faster Face Recognition

This article explains the process of porting face recognition models to Rockchip NPU for higher performance in access control systems (ACS).

March 27, 2025

by Sergey Alabugin

· 4,126 Views · 1 Like

A Comprehensive Guide to Protect Data, Models, and Users in the GenAI Era

This article provides practical checklists to help enterprises securely adopt GenAI.

March 27, 2025

by Boris Zaikin

CORE

· 5,463 Views · 3 Likes

Lakehouse: Manus? MCP? Let’s Talk About Lakehouse and AI

This is the second article in the “Lakehouse: What’s the Big Deal?” series, where I will periodically discuss Lakehouse. Your comments and discussions are welcome.

March 26, 2025

by Mingyu Chen

· 4,160 Views · 2 Likes

Building AI-Driven Intelligent Applications: A Hands-On Development Guide for Integrating GenAI Into Your Applications

This article explains how to build a GenAI-powered chatbot and provides a step-by-step guide to build an intelligent application.

March 26, 2025

by Naga Santhosh Reddy Vootukuri

CORE

· 5,743 Views · 1 Like

GenAI: From Prompt to Production

GenAI-Logic is a prompt-driven approach to describing a model and logic using natural language. Create a time tracking system and post to production in less than 2 hours.

March 25, 2025

by Tyler Band

· 6,321 Views · 7 Likes

Recursive Feature Elimination in Practice

Learn about Recursive Feature Elimination (RFE) to reduce feature count, boost accuracy, prevent overfitting, and build efficient machine learning models.

March 25, 2025

by Srinivas Gurrala

· 3,381 Views

Agentic AI and Generative AI: Revolutionizing Decision Making and Automation

This article examines both agentic and generative AI systems, their relative benefits and drawbacks, their implementation challenges with ethical risks, and more.

March 25, 2025

by Nitish Upadhyay

· 4,268 Views

Make ML Models Work: A Real-World Take on Size and Imbalance

Overcoming NLP hurdles like large models and imbalanced data, the project used TF-IDF, class weighting, and simpler models for accuracy and efficiency.

March 25, 2025

by Gowsiya Syednoor Shek

· 2,807 Views · 1 Like

Text Clustering With Deepseek Reasoning

We will develop and understand a novel approach to text clustering and explain our inference results using the DeepSeek reasoning model.

March 24, 2025

by Kalpan Dharamshi

· 3,273 Views · 2 Likes

Leverage Amazon BedRock Chat Model With Java and Spring AI

Learn to use Amazon Bedrock to build an app that sends text prompts to a model with Spring AI. This guide covers AWS setup, Spring AI config, and Bedrock integration.

March 24, 2025

by Danil Temnikov

CORE

· 10,151 Views · 5 Likes

Recommender Systems Best Practices: Collaborative Filtering

Recommender systems predict preferences using feedback, tackling sparsity and cold starts with collaborative filtering, matrix factorization, and hybrid models.

March 24, 2025

by Salman Khan

CORE

· 9,396 Views · 2 Likes

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