A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks more efficient and easier to deploy.

The guide I needed when I had no idea why anyone would build an MCP server for an AI assistant.

Custodial Lightning wallets allow users to transact without managing private keys or channel liquidity.

A statistical analysis of what drives energy, water, and carbon consumption in AI training — and whether hardware improvements are enough.

The Importance of Building a Benchmark and How To Do It

An introduction to tools that make your model safer and more predictable and performant.

Compare security vulnerabilities across OpenAI, DeepSeek, Qwen, and Claude reasoning models and learn why safety alignment is crucial before deployment.

Never miss a new edition of The Variable, our weekly newsletter featuring a top-notch selection of editors’ picks, deep dives, community news, and more. Subscribe today! All the hard work it takes to integrate large language models and powerful algorithms…

This article outlines the modern security paradigm we at Protect AI have adopted and championed.

There is an extremely naive model of science and innovation called the linear model: The model postulated that innovation starts with basic research, is followed by applied research and development,…

Google’s Carolina Parada says Gemini has enabled huge robotics breakthroughs, like the new on-device AI.

A deep dive into advanced evaluation for data scientists The post Accuracy Is Dead: Calibration, Discrimination, and Other Metrics You Actually Need appeared first on Towards Data Science. Generated…

When the experience goes outside the application

LLM or custom model: how should you choose the right solution? The post Do You Really Need a Foundation Model? appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the…