Microsoft collaboration develops DroidSpeak for better communication between LLMs
A team of computer engineers and AI specialists at Microsoft, working with a pair of colleagues from the University of Chicago, has led to the development of a new language that allows LLMs to speak with one another more efficiently. The group has posted a paper outlining the ideas behind the new language, how it works and the sorts of improvements in efficiency it can lead to, on the arXiv preprint server.
This article will teach you how to perform a language task like text classification by integrating locally hosted large language models (LLMs) of manageable size, like Mistral, Gemma, and Llama 3: all for free thanks to Ollama — a free repository for local LLMs — and the Scikit-LLM Python library.
Current Large Language Models (LLMs) are predominantly designed with English as the primary language, and even the few that are multilingual tend to exhibit strong English-centric biases. Much like speakers who might produce awkward expressions when learning a second language, LLMs often generate unnatural outputs in non-English languages, reflecting English-centric…