AI/ML Resources

Contextual AI Integration for Agile Product Teams

This article introduces Contextual AI Integration for agile product teams. Stop treating AI as a team member to “onboard;“ AI is a tool that requires context.

April 28, 2025

by Stefan Wolpers

CORE

· 3,968 Views · 2 Likes

Building a Simple Todo App With Model Context Protocol (MCP)

MCP is an open standard that connects AI models, apps, and data sources, enabling secure and easy integrations for AI-driven tools and workflows.

April 28, 2025

by Suleiman Dibirov

CORE

· 2,184 Views · 3 Likes

How to Build the Right Infrastructure for AI in Your Private Cloud

Build scalable infrastructure with GPUs for AI workloads, manage data pipelines efficiently, and ensure security and compliance.

April 25, 2025

by Siva Kiran Nandipati

· 5,227 Views · 1 Like

Reinforcement Learning for AI Agent Development: Implementing Multi-Agent Systems

Let's learn how to implement a simple AI agent with reinforcement learning using a multi-agent system in Python, and have a little fun along the way.

April 24, 2025

by Srinivas Chippagiri

CORE

· 2,921 Views · 2 Likes

Optimizing AI Model: A Guide to Improving Performance (3 of 3)

This guide covers data preprocessing, algorithmic improvements, hyperparameter tuning, hardware acceleration, and deployment strategies to improve performance.

April 24, 2025

by Srinivas Chippagiri

CORE

· 2,291 Views · 2 Likes

Key Considerations in Cross-Model Migration

Navigating the challenges of AI model migration, this guide explores differences in tokenization, context windows, formatting, and response structure across LLMs.

April 23, 2025

by Lavanya Gupta

· 3,201 Views · 1 Like

AI Model Evaluation: Metrics, Visualization and Performance (2 of 3)

Evaluate AI models using key metrics and visualization tools to ensure fairness, reliability and scalability in real-world applications.

April 23, 2025

by Srinivas Chippagiri

CORE

· 3,164 Views · 3 Likes

The Role of AI in Enhancing DevOps Processes

AI’s your DevOps wingman—handles the dull crap, sniffs out issues early, and keeps things humming. Early alerts, slick CI/CD testing, and self-fixing systems, all in one.

April 23, 2025

by Sujai Krishna Vasudavan

· 3,400 Views · 1 Like

How to Build Local LLM RAG Apps With Ollama, DeepSeek-R1, and SingleStore

Learn how to use DeepSeek-R1 with SingleStore to analyze PDFs, store embeddings, and discover blockchain investment opportunities in FinTech with LangChain.

April 23, 2025

by Akmal Chaudhri

CORE

· 3,000 Views · 2 Likes

Build Your First AI Model in Python: A Beginner's Guide (1 of 3)

Embark on your AI journey with this step-by-step tutorial, designed to guide beginners through building a basic AI model in Python.

April 22, 2025

by Srinivas Chippagiri

CORE

· 4,253 Views · 2 Likes

Unlocking AI Coding Assistants Part 1: Real-World Use Cases

Dive into some AI coding assistant use cases and their effectiveness, highlighting their capabilities and limitations.

April 21, 2025

by Gunter Rotsaert

CORE

· 2,724 Views · 1 Like

The Rise of Shadow AI: When Innovation Outpaces Governance

Employees adopt AI tools faster than governance can react. Shadow AI isn’t a threat—it’s a signal. Rather than ban it, organizations should guide it with clear policies.

April 21, 2025

by Frederic Jacquet

CORE

· 2,014 Views · 1 Like

AI Interview Analysis

This article discusses how to use generative artificial intelligence to analyze interviews from teammates, stakeholders, and management for better insights.

April 21, 2025

by Stefan Wolpers

CORE

· 2,817 Views · 3 Likes

Vision AI on Apple Silicon: A Practical Guide to MLX-VLM

Learn how Apple's MLX framework turns your Mac into a vision AI powerhouse, running large models efficiently with native Metal optimization and minimal setup.

April 18, 2025

by Aditya Karnam Gururaj Rao

· 3,677 Views · 1 Like

Is the Model Context Protocol a Replacement for HTTP?

MCP works with HTTP, not replaces it. It’s a higher-level framework for managing how AI models handle context, applications, and memory during interactions.

April 18, 2025

by Vijay Joshi

· 5,375 Views · 7 Likes

Gemma 3: Unlocking GenAI Potential Using Docker Model Runner

Run Gemma 3 locally using Docker Model Runner for private, efficient GenAI development — fast setup, offline inference, and full control.

April 17, 2025

by Anjan Kumar Ayyadapu

· 8,963 Views · 1 Like

How AI Is Changing the Way Developers Write Code

Generative AI, AI assistants, and LLMs have unique capabilities in software development. Learn how they improve workflows and maximize productivity.

April 16, 2025

by Karen Bradford

· 4,999 Views · 6 Likes

Why GenAI Apps Could Fail Without Agentic Frameworks

Learn why GenAI apps risk failure and how agentic frameworks empower AI to be proactive, adaptive, and capable of tackling dynamic challenges head-on!

April 15, 2025

by Haymang Ahuja

· 2,674 Views · 3 Likes

Introducing Neuron AI: Create Full-Featured AI Agents in PHP

A complete open-source toolkit for AI development in PHP. Create RAG systems to use the powerful capabilities of LLMs on your own private data.

April 14, 2025

by Valerio Barbera

· 2,711 Views · 2 Likes

Why Generative AI and Data Streaming Are Replacing Visual Coding With Low-Code/No-Code Platforms

Low-code or no-code tools simplify development but have limitations. Generative AI and data streaming (Kafka, Flink) reshape real-time, scalable workflows.

April 14, 2025

by Kai Wähner

CORE

· 2,284 Views

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