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Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…People were interfacing with LLMs for the first time in human history, and because of how the LLM speaks and interacts with them, they naturally anthropomorphise it. Now the LLM is no…
…scoop install llmfit With that, LLMFit is installed on your device. Just type in llmfit into a CMD or PowerShell window, and it will immediately pop up with all its data on…
…And sure enough, my LLM pipeline returned a precise response in less than 1.5 minutes, which is pretty decent for a surveillance setup. Related Local LLMs changed how I use Home…
…I ended up using LocalAI as the LLM-hosting tool for my TrueNAS system It’s extremely easy to deploy on the king of ZFS NAS distros Before I discuss the LLMs…
…Of course, you also need a relatively newer GPU architecture and sufficient memory capacity to avoid stalled LLM workloads. The next time you are optimizing your GPU for LLM inference, focus on…
…What most people actually do with local LLMs The "Chat Box" problem with self-hosted LLMs When I first started running local LLMs, I was mostly focused on the model itself. I…
…For the record, frontier cloud LLMs also have the same constraints. Long inputs and attention issues cause the best LLMs to lose the conversational thread over time, and it's a constant…
…That said, I stray far away from the cloud LLM ecosystem, partly because I don’t want to deal with their privacy issues and subscription fees, and also since my local AI…
…Sign in to your XDA account Summary Free hands-on "LLM From Scratch" course that builds a tiny LLM from nothing to a working model. It comes in six parts: tokenization, transformer…
…Home Agent lets me pair my local LLMs with Home Assistant Back when I used Ollama to host my LLMs, its native integration on Home Assistant made adding my AI models with…
