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...
Once we take into consideration breaking down communication barriers, we frequently deal with language translation apps or voice assistants. But for hundreds of thousands who use sign language, these tools haven't quite bridged the...
AI is becoming a more significant a part of our lives on daily basis. But as powerful because it is, many AI systems still work like “black boxes.” They make decisions and predictions, but...
Understanding COCONUT's InnovationPicture the difference between speaking your thoughts out loud and the actual mental process happening in your brain. That gap – between verbalized thoughts and neural activity – is precisely what Meta's...