After months of testing local LLMs, I found that productivity depends on tools, not just models.

Put your local AI to work.

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.

Artificial intelligence chatbots such as ChatGPT, with all its unexpected features, and Google Gemini, with its impressive gaming feature, are typically tethered to the cloud, where powerful servers ...

New research by Searchable, the AI search visibility tool, has revealed that the vast majority of local businesses are suffering inaccuracies by the AI ...

Part of what makes us human is the unique way we think and solve problems. But using large language models like ChatGPT might be eroding this uniqueness and leading humans to think and communicate the ...

Chatbots are far more predictable in their responses than you might expect. That's fine for research or coding, but it's a ...

In order for a chatbot to become more intelligent, and thus more useful to the end-user, it needs to assimilate data continuously. This process is known as “training.” The problem is that many AI ...

Learn how to evaluate LLM quality and limitations using a range of testing techniques, from unit and regression testing to ...