Did you think it was impossible to understand the complex internal structures of AI models? A new study puts forth the surprising claim that AI 'neural networks' are actually much cleaner and easier to understand than we previously thought.
The phrase 'I am just a language model' is something you often hear when chatting with AI. Did you know this phenomenon is actually triggered by a specific feature the AI possesses?
We simplify recent research exploring whether Large Language Models (LLMs) are merely predicting words through statistics, or if they possess human-like symbolic structures internally.
An easy-to-understand explanation of the research into 'Lean Software Scaling Laws,' which explores how AI models can understand larger-scale software code and make it safer.
An explanation of 'Dispersion Loss,' a new training method that improves the performance of small language models, and the phenomenon of embedding condensation.