Large language models characterise numerous technologies and applications today. But what is actually behind these complex AI systems? An interactive website, developed by Brendan Bycroft, provides fascinating insights into how these models work. Learn more on the interactive website.
One year after ChatGPT - A deeper look into the technology
Since the release of ChatGPT by OpenAI just over a year ago, knowledge of large language models has increased. Technology enthusiasts around the world have learnt what these models can do. However, the technical details behind them often remain a mystery.
Bycroft's interactive graphic - A window into the world of AI
The New Zealand software developer Brendan Bycroft has dedicated himself to closing this knowledge gap. He has created an interactive graphic that explains how large language models work in an understandable way.
Understanding through visualisation
Bycroft's "LLM Visualisation" guides users step by step through the process that a large language model goes through. The website combines explanatory text on the left-hand side of the screen with graphical representations. By using the space bar, users can move through the various sections of the explanation, with text and animation providing a clear picture of how large language models work.
Interactive elements for deeper insights
A special feature of the website is its interactivity: when users move the cursor over a graphic element, the corresponding designation is highlighted in the text. This function helps to understand exactly which mechanism is active at which point in the model.
A must-do for anyone interested in tech
Anyone interested in how large language models work should take a look at Bycroft's graphical explanation. One small drawback, however, is that the explanation is only available in English.
If you want to find out more about the fascinating world of AI and language models, you should visit Brendan Bycroft's website. There you will find in-depth insights into the technology that is increasingly shaping our digital world.
Author: Prof. Dr. Andreas Fuchs / t3n
