…Local AI didn't win. It just showed up I didn’t cancel Claude Pro because local AI models suddenly got better. I still use Claude, but for the work that actually…
…With local LLMs , you get to escape all of that. Local LLMs are AI models that run directly on your computer's hardware, and you can use them at any time (even…
…I was met with a window for API keys, but rather than sign up for yet another API key, I just picked a local model from the dropdown and skipped the cloud…
…local AI work. If you're about to spend a few thousand dollars on a box for the express purpose of running these models, doing it without first trying the actual models…
…Building a better LLM memory Replacing Claude’s cloud memory with local notes proved that the best way to supercharge an AI isn’t to wait for the next massive model update…
…What that bandwidth buys you only matters if the model fits. If the weights, KV cache, and context buffer don't fit in 32GB, the speed drops off massively. The model starts…
…Related I replaced my local LLM with a model half its size and got better results — And it wasn't about the parameters I switched from a 20B model to a 9B…
…Then the hammer dropped. AI labs have moved to a "compute-based" usage model, which factors in complexity, tool calling, and how long your chats are into the usage cap. It's…
…Anthropic, and others D Only locally hosted open-source models Correct! Fabric supports multiple AI backends, including OpenAI, Anthropic (Claude), Google Gemini, Ollama for local models, and more. This flexibility means users…
…When I’m drafting sensitive client work, I don’t have to worry about my data being used to train an AI model. LM Studio LM Studio lets you run local LLM…