Language

Most large language models are trained to refuse questions their designers don’t want them to reply. Anthropic’s LLM Claude will refuse queries about chemical weapons, for instance. DeepSeek’s R1 appears to be trained...

In 2014, Ivan Crewkov moved his family from Siberia to the U.S. as his startup, Cubic.AI, was preparing to launch a Kickstarter campaign for its smart speaker. Every week before the campaign was alleged...

Predicting future states is a critical mission in computer vision research – not least in robotics, where real-world situations should be considered. Machine learning systems entrusted with mission-critical tasks subsequently need adequate understanding of...

There’s an acronym you’ve probably heard non-stop for the past few years: LLM, which stands for Large Language Model.In this text we’re going to take a temporary have a look at what LLMs are,...

Why and learn how to convert mT5 right into a regression metric for numerical predictionMy undergraduate honour’s dissertation was a Natural Language Processing (NLP) research project. It focused on multilingual text generation in under-represented...

Large Language Models (LLMs) have modified how we handle natural language processing. They'll answer questions, write code, and hold conversations. Yet, they fall short in the case of real-world tasks. For instance, an LLM...

Most big tech firms now boast fun-size versions of their flagship models for this purpose: OpenAI offers each GPT-4o and GPT-4o mini; Google DeepMind has Gemini Ultra and Gemini Nano; and Anthropic’s Claude...

I’ll go a step further and share that even classic NLP approaches often work surprisingly well. Let me share a private case: I’m working on a product for psychological support where we process over...