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All articles on AI, ML, and the tools shaping the future.

Large Language Models

Meta Spent $14 Billion to Win the AI Race. Its Next Model Still Isn't Ready.

Meta's Avocado model has been quietly pushed to May — even as the company bets $14.3 billion on Scale AI to close the gap with rivals. What's really going on inside Meta's AI machine?

March 16, 202610 min read
metallamaai-models
Tutorials

MCP: The Developer's Guide to the Protocol Quietly Rewiring AI Applications

Model Context Protocol (MCP) is becoming the USB-C of AI integration — a single standard for connecting LLMs to any tool, database, or API. Here's the architecture, the primitives, and how to build your first server.

March 16, 202611 min read
mcpmodel-context-protocolai-agents
AI Tools

BuzzFeed's AI Bet Backfired: A $57 Million Lesson for Every Publisher in 2026

BuzzFeed just reported a $57M net loss and 'substantial doubt' it can survive. Three years after its all-in AI pivot, what went wrong — and what every media company should learn from it.

March 15, 20269 min read
buzzfeedai-contentgenerative-ai
Tutorials

Building Production RAG Applications: A Complete Guide

Learn how to build Retrieval-Augmented Generation systems that actually work in production — from chunking strategies to evaluation frameworks.

March 14, 20263 min read
ragembeddingsvector-databases
Prompt Engineering

7 Prompt Engineering Patterns Every Developer Should Know

Master the most effective prompt patterns — from chain-of-thought to few-shot learning — and learn when to use each one for maximum results.

March 12, 20263 min read
promptsllmsbest-practices
Large Language Models

Understanding the Transformer Architecture: From Attention to GPT

A deep dive into the transformer architecture that powers modern LLMs. Learn how self-attention, positional encoding, and feed-forward layers work together.

March 10, 20263 min read
transformersattentiondeep-learning