Large language models offer opportunities for higher education, but also present challenges. Here is how to balance both The integration of large language models (LLMs) such as GPT-4 into higher ...

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.

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 ...

Local LLMs are fantastic, and they keep getting better at a staggering pace. I have non-negotiable reasons for preferring a local setup over relying on cloud giants like Claude or ChatGPT. Because of ...

Large language models have moved out of the research lab and into engineers’ daily workflow. LLMs serve as reasoning engines ...