AI/ML Resources

Getting Started With GenAI on BigQuery: A Step-by-Step Guide

This article shows how to use Google Cloud's BigQuery ML and Gemini to analyze and summarize text data directly within BigQuery using SQL and ML.GENERATE_TEXT function.

May 8, 2025

by Nivedita Kumari

· 3,649 Views

Artificial Intelligence, Real Consequences: Balancing Good vs Evil AI [Infographic]

Is AI bringing about positive change? What are the long-term repercussions? Let's explore the exciting yet intensifying pressure of AI.

May 8, 2025

by DZone Editorial

· 3,976 Views · 5 Likes

Measuring the Impact of AI on Software Engineering Productivity

AI-assisted coding tools promise large productivity gains. But does AI generated code really equate to higher engineering productivity? We dive into the details.

May 7, 2025

by Ralf Huuck

· 2,543 Views · 1 Like

Transforming AI-Driven Data Analytics with DeepSeek: A New Era of Intelligent Insights

AI-driven analytics is revolutionizing data processing, enhancing automation, optimizing decision-making, and tackling challenges like scalability, latency, and security.

May 7, 2025

by Shafeeq Ur Rahaman

· 2,836 Views

Kubeflow: Driving Scalable and Intelligent Machine Learning Systems

Kubeflow streamlines and scales machine learning workflows on Kubernetes, improving deployment, interoperability, and efficiency.

May 7, 2025

by Anupama Babu

· 2,557 Views · 2 Likes

Beyond ChatGPT, AI Reasoning 2.0: Engineering AI Models With Human-Like Reasoning

Build a practical AI reasoning system from scratch using Python, focusing on real-world applications and step-by-step implementation.

May 6, 2025

by Mahesh Vaijainthymala Krishnamoorthy

· 2,445 Views · 1 Like

Hybrid Cloud vs Multi-Cloud: Choosing the Right Strategy for AI Scalability and Security

As AI adoption accelerates, enterprises must choose the right cloud strategy to ensure scalability, security, and performance.

May 6, 2025

by Vaibhav Tupe

· 5,095 Views

A Guide to Developing Large Language Models Part 1: Pretraining

In this article, we will cover key concepts in LLM pretraining, focusing on language model basics, data, scaling laws, and evaluation.

May 6, 2025

by Inderjot Singh Saggu

· 3,297 Views · 2 Likes

AI, ML, and Data Science: Shaping the Future of Automation

AI, machine learning, and data science are transforming industries, driving automation, advancing innovation, and addressing challenges like data privacy and bias.

May 6, 2025

by Shafeeq Ur Rahaman

· 3,411 Views

A Developer's Guide to Mastering Agentic AI: From Theory to Practice

The next evolution of AI: systems that autonomously plan, reason, and act to achieve complex goals. This guide offers a structured path for developers.

May 5, 2025

by Somanath Balakrishnan

CORE

· 4,569 Views · 6 Likes

AI Meets Vector Databases: Redefining Data Retrieval in the Age of Intelligence

Learn how AI and vector databases enable searches by meaning, powering smarter recommendations, chatbots, and tools for handling unstructured data.

May 5, 2025

by Anand Singh

· 2,384 Views · 1 Like

AI-Assisted Coding for iOS Development: How Tools like CursorAI Are Redefining the Developer Workflow

AI Assisted coding is changing iOS development fundamentally. Tools like CursorAI are helping iOS developers ship apps faster.

May 2, 2025

by Prithiv Dev Devendran

· 2,622 Views

Unlocking AI Coding Assistants Part 4: Generate Spring Boot Application

Determine whether it's feasible to build a production-grade Spring Boot application from scratch using a large language model (LLM) as an AI coding assistant.

May 2, 2025

by Gunter Rotsaert

CORE

· 4,258 Views · 3 Likes

My LLM Journey as a Software Engineer Exploring a New Domain

Here is rant about a software engineer putting on a non-developer hat by leveraging AI to attempt to conquer an unfamiliar territory.

May 1, 2025

by Dale Waterworth

· 3,039 Views · 1 Like

Evolution of Cloud Services for MCP/A2A Protocols in AI Agents

The adoption of MCP and A2A protocols is reshaping cloud service architectures by enabling the development of modular, interoperable, and scalable AI systems.

May 1, 2025

by Bhala Ranganathan

CORE

· 4,626 Views · 4 Likes

Unlocking AI Coding Assistants Part 3: Generating Diagrams, Open API Specs, And Test Data

Learn how to leverage AI assistants like LLMs to speed up development tasks such as generating UML diagrams, OpenAI specs, test data, and code.

May 1, 2025

by Gunter Rotsaert

CORE

· 6,366 Views · 1 Like

Google Cloud Document AI Basics

This simple example shows how to use a custom extractor in Google's Doc AI to process W-2s and use a PDF as part of the context to Gemini.

April 30, 2025

by Imran Burki

· 4,711 Views · 2 Likes

Docker Model Runner: Streamlining AI Deployment for Developers

Docker Model Runner is a tool introduced to simplify running and testing AI models locally, integrating seamlessly into existing workflows.

April 30, 2025

by Ram Chandra Sachan

· 23,888 Views · 18 Likes

The Modern Data Stack Is Overrated — Here’s What Works

The modern data stack is overrated. What works? Fewer tools, clear ownership, and systems your team actually understands.

April 29, 2025

by Rahul .

· 4,010 Views · 2 Likes

Unlocking AI Coding Assistants Part 2: Generating Code

Examine the effectiveness of AI coding assistants, highlight their potential and limitations in generating javadoc, names, and performing small coding tasks.

April 29, 2025

by Gunter Rotsaert

CORE

· 2,812 Views · 2 Likes

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