Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…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…
…Existing AI-tainted apps stay; new LLM-generated submissions will be rejected. There's no question about AI's effect on coding. It has huge ramifications on how people create apps and…
…Related I added these MCP servers to my local LLM stack, and one of them replaces a $249 paid tool These MCP servers make my local LLM even better. Scripting ties it…
…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 A workflow that changes how…
…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…
…If anything, I’ve grown to love the 9B and 12B LLMs I’ve deployed on my server nodes, as I don’t have to worry about external firms gaining access to…
…For example, when I tested the Arc A770 for local LLMs, I used ipex-llm through a custom Docker setup. It worked, and the performance was decent too, netting approximately 23 tokens…
…OCR scanners like Paperless-GPT mesh really well with my LLMs, and the same holds true for Open Notebook , Blinko , and other productivity apps that support RAG analysis. That said, dev workloads…
…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…
…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 can…