Goodbye Fragmented Local AI Pipelines. Hello Foundry Local 1.1
Microsoft just made real-time voice + semantic search + multimodal agents ridiculously simple to build.Continue reading on Open AI »
Microsoft just made real-time voice + semantic search + multimodal agents ridiculously simple to build.Continue reading on Open AI »
I used to think an AI coding assistant needed the cloud.Continue reading on Medium »
The internet says you can run Claude Code for free using local models. I tested it hands-on so you don’t have to.Continue reading on Medium »
The Case for Small Models Is Stronger Than You ThinkContinue reading on Medium »
Google’s Gemma 4 represents a significant shift in the artificial intelligence landscape, pivoting from massive, cloud-reliant…Continue reading on Medium »
A deep dive into the two-store vector database design all running on your machine. And, accessible anywhereContinue reading on Towards AI »
Before diving in, one important distinction: TurboQuant does not quantize model weights. It compresses the KV cache at inference time. This means it doesn’t replace tools like GGUF or AWQ — it stacks on top of them. To understand why that matters, you …
1. Bulut Esaretinden Silikon DevrimineContinue reading on Medium »