Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…Related I started self-hosting LLMs and absolutely loved it Who needs OpenAI when your home lab can do the thinking for you? Ambiguous prompts are a local LLM's kryptonite Especially…
…Related My local LLM can call Claude when it's stuck, and it changed everything about my local-first setup Local LLMs aren't very good on their own Hybrid LLM workflows…
…Sign in to your XDA account Running self-hosted LLMs can easily turn into an endless upgrade cycle. One week you are testing new quants, the next week you are comparing benchmarks…
…Sign in to your XDA account After getting started with local LLMs, I thought it was going to be a hunt to find the perfect model . That I just needed that one…
…OpenRouter doesn’t magically make every LLM free , nor does it eliminate the need to consider costs. What it does is change the shape of the experiment. Instead of committing to one…
…Related I finally found a local LLM I want to use every day (and it's not for coding) Local AI that actually fits into my day Not toys, just specialists To…
…Related I use local LLMs and self-hosted apps to manage my documents instead of relying on ChatGPT Not every LLM-powered task requires a ChatGPT subscription RAG makes my LLMs more…
…Related I don't pay for ChatGPT, Perplexity, Gemini, or Claude – I stick to my self-hosted LLMs instead There's no point in relying on AI tools when my local LLMs…
…Related I run local LLMs daily, but I'll never trust them for these tasks Your local LLM is great, but it'll never compare to a cloud model. I've used…
…Related 7 things I wish I knew when I started self-hosting LLMs I've been self-hosting LLMs for quite a while now, and these are all of the things I…
