Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.
Large language models face a fundamental computational limit that causes undetected errors in complex tasks. Hybrid AI ...
After helping build some of the world's most widely used open AI datasets at Hugging Face, Guilherme Penedo and Hynek ...
Erik Steiger discusses the operational pain of legacy PDF generation in regulated banking and manufacturing. He explains how ...
As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...
XDA Developers on MSN
I quantized a local LLM on my home server and ditched cloud AI for smart home control entirely
My Proxmox node now powers my entire smart home without touching a single cloud service ...
XDA Developers on MSN
I turned my self-hosted LLM from a glorified chat box into a real AI assistant
After months of testing local LLMs, I found that productivity depends on tools, not just models.
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