AI/ML Resources

Meta-Learning: The Key to Models That Can "Learn to Learn"

Learn how meta-learning helps AI adapt fast with little data—plus key methods, challenges, and use cases powering next-gen intelligent systems.

August 1, 2025

by harshraj bhoite

· 2,411 Views · 2 Likes

ITBench, Part 2: ITBench User Experience – Democratizing AI Agent Evaluation

This post dives into how ITBench enables realistic AI agent evaluation through streamlined onboarding, automated benchmarking, and operationally relevant metrics.

August 1, 2025

by Anca Sailer

· 1,710 Views

MCP Logic: How to Make It 40x Simpler

MCP requires logic. A declarative approach reduces code 40x using spreadsheet-like business rules. Here's a project comparing procedural and declarative.

August 1, 2025

by Val Huber

CORE

· 2,988 Views · 5 Likes

Docker Offload: One of the Best Features for AI Workloads

Docker Offload enables running container builds and workloads in the cloud while maintaining a local development experience using Docker Desktop.

August 1, 2025

by Naga Santhosh Reddy Vootukuri

CORE

· 3,676 Views · 2 Likes

How GitHub Copilot Handles Multi-File Context Internally: A Deep Dive for Developers, Researchers, and Tech Leaders

A deep dive into how GitHub Copilot handles multi-file context in real time using embeddings, symbols, and prompt queues to deliver smarter, context-aware suggestions.

August 1, 2025

by SHALLABH DIXITT

· 4,126 Views · 2 Likes

AI-Powered AWS CloudTrail Analysis: Using Strands Agent and Amazon Bedrock for Intelligent AWS Access Pattern Detection

In this post, I came up with a solution that addresses the critical challenge of efficiently analyzing AWS CloudTrail logs to identify security threats.

August 1, 2025

by Anil Malakar

· 3,019 Views · 2 Likes

KV Caching: The Hidden Speed Boost Behind Real-Time LLMs

LLMs slow down as outputs grow due to repeated attention over past tokens. KV caching skips redundant work by reusing keys and values, enabling 3–4× faster inference.

August 1, 2025

by Srinidhi Goud Myadaboyina

· 2,763 Views · 2 Likes

AI-Powered Product Recommendations With Oracle CDC, Flink, and MongoDB

I’ll show you how I used Oracle, Kafka, Flink, OpenAI, and MongoDB to build a real-time personalization engine from scratch.

July 31, 2025

by Sean Falconer

· 1,830 Views

Revolutionizing the Command Line: An Introduction to Gemini CLI

Gemini CLI is an open-source AI-powered tool from Google that runs in the terminal, offering features like code analysis, task automation, and file handling.

July 31, 2025

by Praveen Kumar Myakala

· 6,315 Views · 33 Likes

Building a VS Code-Like Online IDE With Next.js 15, TypeScript, Tailwind CSS, and Goose AI

Build an online IDE with Monaco Editor, Next.js 15, TypeScript, Tailwind CSS, and Goose AI, offering AI-powered code suggestions triggered by comments.

July 31, 2025

by Guhaprasaanth Nandagopal

· 3,037 Views · 2 Likes

Amazon Q Developer: The Future of AI-Enhanced Coding Productivity

In this article, learn how Amazon Q Developer, an AI-powered coding assistant, boosts productivity with smart code suggestions, tests, docs, and refactoring tools.

July 31, 2025

by Dinesh B

· 2,045 Views · 2 Likes

From Raw Data to Model Serving: A Blueprint for the AI/ML Lifecycle With Kubeflow

Learn the entire ML lifecycle—from data preparation to live inference—leveraging the Kubeflow platform to create a cohesive, production-grade MLOps workflow.

July 31, 2025

by Helber Belmiro

CORE

· 2,440 Views · 1 Like

Vibe Coding: Conversational Software Development — Part 3: Prompt Discipline

In part 3 of this series, learn how prompts shape AI-driven development in vibe coding, and how to craft effective system prompts for better coding outcomes.

July 31, 2025

by Gaurav Gaur

CORE

· 2,079 Views · 7 Likes

Demystifying Convolutional Neural Networks (CNNs) in the Deep Learning

Convolution uses small filters to scan data, multiplying and summing overlapping entries to efficiently detect patterns and build hierarchical features.

July 29, 2025

by Mahesh Ganesamoorthi

· 1,696 Views · 1 Like

2025 Gartner Magic Quadrant for iPaaS: A Shift Towards Intelligent Automation

The 2025 Gartner iPaaS report highlights a shift toward AI-driven, low-code platforms, with Workato rising to Leader and MuleSoft slipping to Challenger.

July 29, 2025

by Susmit Dey

CORE

· 5,742 Views · 1 Like

From Development to Deployment: Automating Machine Learning

A step-by-step journey of a machine learning model from development to deployment using containers and Infrastructure-as-Code tool Terraform.

July 29, 2025

by Yashraj Behera

· 2,450 Views · 4 Likes

Apache Spark Framework for Clustering Algorithms in Distributed Mode

Apache Spark's framework to train clustering algorithms is not supported by SparkML in distributed mode using customer partitioners and the mapPartition technique.

July 29, 2025

by Arun Kumar Natva

· 1,662 Views · 1 Like

Debugging Bias: How to Audit Machine Learning Models for Fairness at Scale

Fairness in ML requires more than high accuracy; it demands careful auditing of data, models, and outcomes to detect and mitigate bias across demographic groups.

July 28, 2025

by Sana Zia Hassan

· 9,141 Views · 4 Likes

Building Intelligent Applications Using Generative AI and Azure Database for PostgreSQL

Embed GenAI into PostgreSQL using Azure extensions for semantic search, predictions, and smart applications — directly within your data layer.

July 28, 2025

by Aravind Nuthalapati

CORE

· 11,161 Views · 2 Likes

Docker Model Runner Makes Running Models Simpler

Running models locally has just gotten simpler with Docker Model Runner. In this tutorial, we will talk about what the runner is about and how we can use it.

July 28, 2025

by Siri Varma Vegiraju

CORE

· 2,917 Views · 1 Like

The Latest AI/ML Topics