Tokenization in LLMs: Why Not Use Words?
Introduction Large Language Models (LLMs) do not see text as a series of characters or words; instead they use tokens.…
Read moreDefining AGI : Why OpenAI’s o3 Isn’t Enough to achieve Artificial General Intelligence
With the release of OpenAI’s o3, the discourse surrounding Artificial General Intelligence (AGI) has intensified recently; with some are asking…
Read moreChatGPT and Large Language Models : Key Historical Milestones in AI
Introduction Artificial intelligence (AI) has seen important advances over the past decade. More specifically, the field has been marked by…
Read moreWhy non linearity matter in Artificial Neural Networks
If you’re familiar with artificial neural networks, you’ve likely heard about activation functions and the significance of their non-linearity. However,…
Read moreIs this GPT? Why Detecting AI-Generated Text is a Challenge
Can we spot text written by AI? While there are tools designed to detect AI-written text, they often fall short,…
Read moreThe Transformer Revolution: How AI was democratized
In recent years, the world of Artificial Intelligence has seen a democratic revolution; everyone has heard about it. This is…
Read moreAI Model Distillation : how to compress a brain?
Introduction Large Artificial Intelligence (AI) systems require significant computational power and storage. However, they’re not always practical for everyday use.…
Read morePrompt Engineering: How to Talk to AIs like ChatGPT?
It’s challenging to meet someone who hasn’t heard about GPT and other similar models this year. These Large Language Models…
Read moreHow GPT is Revolutionizing the World of Artificial Intelligence
Introduction In recent years, the word artificial intelligence and machine learning (ML) became prevalent. This technology has revolutionised how we…
Read moreChatGPT : how it changed the way I work
The day computers became available to the public at large, it must have been incredible. I have always wondered how…
Read more