Categories: AI/ML News

The language revolution: How LLMs could transform the world

Take a look at the landscape of large language models (LLMs) today, and how they could enable us to achieve more than we thought possible.Read More

Do Large Language Models Have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMs

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…

May 17, 2025

In "FAANG"

Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding

Large language models (LLMs) have greatly improved their capability in performing NLP tasks. However, deeper semantic understanding, contextual coherence, and more subtle reasoning are still difficult to obtain. The paper discusses state-of-the-art methodologies that advance LLMs with more advanced NLU techniques, such as semantic parsing, knowledge integration, and contextual reinforcement…

December 10, 2025

In "FAANG"

Using Scikit-LLM with Open-Source LLMs

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.

June 5, 2026

In "AI/ML Research"

AI Generated Robotic Content