I'm running a 284-billion-parameter model locally, and it competes with cloud AI
I'm running a 284-billion-parameter model locally, and it competes with cloud AI
I'm running a 284-billion-parameter model locally, and it competes with cloud AI
…It's a surprisingly capable model, and getting it running on your phone is easier than you think. The phone is doing all the thinking All local using Termux Setup on the…
…variable in most AI comparisons today When I first started using AI tools regularly, I was obsessed with model comparisons. Every week there seemed to be a new benchmark, a new ranking…
…AMD is now shipping day-zero support for cutting-edge local AI models, and AV1 with B-frames has all but caught up with NVENC's long-established superiority. AMD just won…
…But AI broke the model in the other direction too. A language model can rifle through a real codebase in hours, and once scaled across thousands of projects, bugs that were "safe…
…This is why so many local LLM users find themselves capping their context window at 32K or 64K tokens, even when the model technically supports 128K or more. The model fits, but…
…There is also evidence that models are capable of finding their way out of restricted environments. During a cybersecurity evaluation, OpenAI models were placed inside an isolated environment without direct internet access…
…The models themselves have earned their reputation, and the various benchmarks I've run over the course of the last few months confirm as much. It really is no surprise that multidisciplinary…
…de facto way for any model, local or cloud, to talk to outside tools. Adding an MCP server to your stack is the closest thing the AI world has to installing a…
…After all, both companies have been pitching small machines that run big AI models locally for quite a while now. And Nvidia had just tossed its own hat into the ring. In…