XDA Developers

Your local LLM feels weak because you're treating it like a search engine

Nolen began their writing career in 2019, with three years dedicated to editing the Creative section at MakeUseOf. Their expertise lies at the crossroads of technology and creativity, covering areas ...
Hosted on MSN

Setting up a local LLM is the easy part—here's what you need to do with it next

Running your own LLM is surprisingly easy. Using software such as Ollama or LM Studio, you can install and run local AI models that work completely offline. The size and speed of the models will ...
Hosted on MSN

Stop paying for search APIs—this self-hosted tool lets my local LLM search the web for free

I use local LLMs for a lot of things. While the models I can run on my hardware are nowhere near as powerful as ChatGPT, Gemini, or Claude, a local LLM can still do a good job, and most importantly, ...
XDA Developers

I don’t pay for Perplexity or ChatGPT after combining my local LLMs with Perplexica and SearXNG

But everything falls apart as soon as I start prompting my LLMs about complex errors, new topics, or frequently updated ...
Search Engine Land

LLM perception match: The hurdle before fanout and why it matters

If LLMs don’t see you as a fit, your content gets ignored. Learn why perception is the new gatekeeper in AI-driven discovery. Before an LLM matches your brand to a query, it builds a persistent ...
Search Engine Land

LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...