A hands-on introduction to Futhark through a collection of commented programs, listed in roughly increasing order of complexity.
A detailed guide for running the new gpt-oss models locally with the best performance using `llama.cpp`. The guide covers a wide range of hardware configurations and provides CLI argument explanations and benchmarks for Apple Silicon devices.
An analysis of the recent paper 'The Leaderboard Illusion' which critiques the Chatbot Arena's LLM evaluation methodology, focusing on issues with private testing, unfair sampling, and potential gaming of the leaderboard. It also explores OpenRouter as a potential alternative ranking system.
This article discusses the limitations of Large Language Models (LLMs) in classification tasks, focusing on their lack of uncertainty and the need for more accurate performance metrics. New benchmarks and a metric named OMNIACCURACY have been introduced to assess LLMs' capabilities in both scenarios with and without correct labels.
