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AI / ML Articles

Explore real-world engineering experiences from top tech companies.

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Trending This Week

#1
GitHub logoGitHub

Agent-driven development in Copilot Applied Science

11 views2026-03-31
#2
The Hacker News logoThe Hacker News

TrueConf Zero-Day Exploited in Attacks on Southeast Asian Government Networks

9 views2026-03-31
#3
The Hacker News logoThe Hacker News

Vertex AI Vulnerability Exposes Google Cloud Data and Private Artifacts

9 views2026-03-31
#4
Google Cloud logoGoogle Cloud

Spanner's multi-model advantage for the era of agentic AI

8 views2026-03-31
#5
Google Cloud logoGoogle Cloud

How AI-powered tools are driving the next wave of sustainable infrastructure and reporting

8 views2026-03-31
#6
Databricks logoDatabricks

What is a Cloud-Based Database Management System?

8 views2026-03-25

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Databricks logoDatabricks
31 min read
AI•2026-03-23

Building a Knowledge Assistant over Code

This post explores building a RAG-based code knowledge assistant using three chunking strategies and evaluating them with MLflow.

Engineering
Google Cloud logoGoogle Cloud
15 min read
AI•2026-03-23

A developer’s guide to training with Ironwood TPUs

This post provides a technical guide for developers on optimizing AI model training using Google's seventh-generation Ironwood TPU within the JAX and MaxText ecosystems.

AI & Machine Learning
TPUs
Compute
Google logoGoogle
11 min read
AI•2026-03-23

Build a smart financial assistant with LlamaParse and Gemini 3.1

This post explains how to build an intelligent personal finance assistant by combining LlamaParse and Gemini 3.1 Pro to extract structured data from complex financial PDFs.

OpenAI logoOpenAI
31 min read
AI•2026-03-23

Creating with Sora Safely

This post outlines the safety-first approach taken in building Sora 2 and the Sora app as a video generation model and social creation platform.

Safety
Databricks logoDatabricks
261 min read
AI•2026-03-20

coSTAR: How We Ship AI Agents at Databricks Fast, Without Breaking Things

This post introduces coSTAR, Databricks' methodology for reliably testing and iterating on AI agents using MLflow.

Mosaic Research
Databricks logoDatabricks
71 min read
AI•2026-03-20

From Legacy to Lakehouse: How Mazda Accelerated GenAI for Technical Service Operations

Mazda built a GenAI-powered service assistant on Databricks Lakehouse to help hotline agents diagnose vehicle issues faster and more accurately.

Industries
Manufacturing
Hugging Face logoHugging Face
01 min read
AI•2026-03-20

What's New in Mellea 0.4.0 + Granite Libraries Release

IBM Research releases Mellea 0.4.0 and three Granite Libraries for building structured, verifiable, and safety-aware AI workflows on IBM Granite models.

Grafana logoGrafana
08 min read
AI•2026-03-20

Observe your AI agents: End‑to‑end tracing with OpenLIT and Grafana Cloud

This post explains how to monitor AI agents end-to-end using the OpenLIT SDK and Grafana Cloud for distributed tracing, metrics, and cost visibility.

Grafana logoGrafana
09 min read
AI•2026-03-20

How to monitor LLMs in production with Grafana Cloud,OpenLIT, and OpenTelemetry

This post explains how to set up end-to-end observability for LLM applications in production using Grafana Cloud, OpenLIT SDK, and OpenTelemetry.

Cloudflare logoCloudflare
31 min read
AI•2026-03-19

Powering the agents: Workers AI now runs large models, starting with Kimi K2.5

Cloudflare's Workers AI now supports large frontier open-source models, launching with Moonshot AI's Kimi K2.5 to power agentic workloads on a unified platform.

Developer Platform
Developers
Workers AI
Cloudflare Workers
AI
Agents
Databricks logoDatabricks
21 min read
AI•2026-03-19

Introducing AI Runtime: Scalable, Serverless NVIDIA GPUs on Databricks for Training and Finetuning

Databricks announces the Public Preview of AI Runtime (AIR), a serverless training stack enabling on-demand distributed GPU training on NVIDIA A10s and H100s.

Announcements
AI
Pinterest logoPinterest
41 min read
AI•2026-03-19

Building an MCP Ecosystem at Pinterest

Pinterest describes how they built a production MCP (Model Context Protocol) ecosystem to enable AI agents to safely automate engineering tasks.

engineering-culture
pinterest
infrastructure
ai
engineering