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.

There's always a local model that can replace your AI subscription ...

Neural activity data can be associated with behavioral and physiological variables by analyzing their changes in the temporal domain. However, such relationships are often difficult to quantify and ...

Large language models (LLMs) are artificial intelligence (AI) tools that can generate human expert–like content and be used to accelerate the synthesis of scientific literature, but they can spread ...

A complete C++ implementation of the Python hmmlearn library, featuring modern C++17, Eigen for linear algebra, and comprehensive HMM algorithms. hmm_c++/ ├── include/ # Header files │ ├── types.hpp # ...

Hidden Markov Models (HMMs) are powerful statistical tools used in temporal pattern recognition, such as speech, bioinformatics, and finance. They model systems where the states are hidden but produce ...

With practically no expression on his face, babbling away, all kinds of commotion around him, he's funny. I asked, "Why do you think 'less is more' can be funny?" "Well, I think so much of theater, ...

Work is pushing AI pretty hard and some people are chewing up tokens like crazy. We had a session where one coworker showed his cursor setup and the different MCP servers he's tied into to automate ...

Animals interact with the world through freely expressed behaviors whose content reflects sensory information, prior experience and internal state. The brain composes these complex patterns of action ...

The authors present a comprehensive set of tools to compactly characterize the time-frequency interactions across a network. The utility of the toolbox is compelling and demonstrated through a series ...