language model

A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …

7-node ESP32-S3 cluster running a 0.4B LLM via 1.58-bit (BitNet) ternary quantization over SPI daisy-chain - Low-Zi-Hong/ESP32s3-LLM-Cluster

Large Language Models (LLMs) tend to add disclaimers like "I'm just an AI" when asked about something related to themselves. The self-reports from such responses are used in debates about AI safety or…

A custom AI architecture being developed in rust . Contribute to Sparticle62ops/pssa development by creating an account on GitHub.

Can Linux eBPF execute a real language model? A Qwen3-0.6B experiment shows exactly which work runs in the kernel, how fast it is, and why INT4 and arena memory remain open tradeoffs.

Contribute to ntlm1686/Your-language-model-is-already-a-decision-model development by creating an account on GitHub.

Open-source framework for large language model evaluations

Language through a fly’s wiring. A next-token experiment trained from scratch, with an inspectable brain and matched language benchmarks.

A new kind of AI model returns decisions instead of text. We spent a day trying to change its mind. It cost about 50 cents. In this article Jev is a new %

a grid of tiny cells could carry a bit sixteen steps away

I pretrained a language model end-to-end in Rust - alone, with no team, no PyTorch, and no Python in the training path - for $164 in rented GPU time. I report that as an achievement, not a recommendation: the more…

Open-source framework for large language model evaluations

Seven Verbs for Working on Meaning with a Language Model

Some short musings on the shape of language models, e.g. what it means to design a language model around a harness, and not the other way around.

The biggest AI models stay on track longer, know more, and catch more of their own mistakes. Here is how to do that work for a smaller one.