As context lengths move into tens and hundreds of thousands of tokens, the key value cache in transformer decoders becomes a primary deployment bottleneck. The cache stores keys and values for every layer and head with shape (2, L, H,…
Transformers use attention and Mixture-of-Experts to scale computation, but they still lack a native way to perform knowledge lookup. They re-compute the same local patterns again and again, which wastes depth and FLOPs. DeepSeek’s new Engram module targets exactly this…
Uncertainty in Machine Learning: Probability & NoiseImage by Author Editor’s note: This article is a part of our series on visualizing the foundations of machine learning. Welcome to the latest entry in our series on visualizing the foundations of machine…
Generative artificial intelligence models have left such an indelible impact on digital content creation that it’s getting harder to recall what the internet was like before it. You can call on these AI tools for clever projects such as videos…
The MIT Siegel Family Quest for Intelligence (SQI), a research unit in the MIT Schwarzman College of Computing, brings together researchers from across MIT who combine their diverse expertise to understand intelligence through tightly coupled scientific inquiry and rigorous engineering.…
In this tutorial, we build a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless communication, strict SDK-level validation, and asynchronous, long-running operations. We implement a minimal MCP-like protocol using structured envelopes, signed requests, and…
Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released as open starting points for developers who want to build medical imaging, text and speech systems and then adapt them…
In this tutorial, we build an advanced, multi-turn crescendo-style red-teaming harness using Garak to evaluate how large language models behave under gradual conversational pressure. We implement a custom iterative probe and a lightweight detector to simulate realistic escalation patterns in…
Anthropic has released Cowork, a new feature that runs agentic workflows on local files for non coding tasks currently available in research preview inside the Claude macOS desktop app. What Cowork Does At The File System Level Cowork currently runs…
Artificial intelligence (AI) observability refers to the ability to understand, monitor, and evaluate AI systems by tracking their unique metrics—such as token usage, response quality, latency, and model drift. Unlike traditional software, large language models (LLMs) and other generative AI…
