Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…A couple of weeks ago, I gave local LLMs another shot. I even tested three local LLMs side by side on my RTX 4070 Ti and decided to keep one of them…
…Sign in to your XDA account I have been using Ollama to run local LLMs on my Mac, and it has been working just fine. However, my Mac's overall performance took…
…But I'm increasingly noticing that local LLMs are starting to change that. Systems built around Home Assistant and local LLMs like Qwen and Llama are beginning to treat the home as…
…With the right hardware configuration, you can run genuinely useful local LLMs. Before you even consider hosting your own LLMs, it's vital that you learn that getting one to work locally…
…Self-hosting an LLM turned out to be one of the best productivity upgrades I've made. I stopped treating AI like a website My local AI became just another app on…
…The post says that human-generated code with murky copyright status is rejected, so LLM code should be no different. The second is quality. Proposal A claims that "an LLM can never…
…And that’s just the apps that natively support LLM integrations. Once I started setting up MCP servers, I was able to integrate LLMs with everything from my NAS OS to my…
…Being able to create my own commands is fantastic, and linking up with an LLM makes it even more powerful. An LLM is key to making it even better than Google It…
…For LLMs to graduate from tools that people "visit" to those that live inside everything they use, the chat interface has to meet its necessary death. Related I replaced cloud LLMs with…
…But this is where LLMs are fundamentally different from anything search-based. And it’s even more critical to assign a persona or role to your local LLM than a cloud LLM…
