Why Are Small AI Models Dumb? A Solution to 'Embedding Condensation'
An explanation of 'Dispersion Loss,' a new training method that improves the performance of small language models, and the phenomenon of embedding condensation.
An explanation of 'Dispersion Loss,' a new training method that improves the performance of small language models, and the phenomenon of embedding condensation.
The secret behind GateGPT, which generates 56,000 tokens per second on an 80MHz chip slower than a smartphone. The principles of Transformers, KV cache, and FPGAs are explained easily for everyday readers.
In 2019, OpenAI refused to release their GPT-2 model to the public, citing it as too dangerous. Here is the easiest explanation of what happened between the fear that AI would churn out fake news and propaganda, and the criticism that it was just a media stunt.
From smartphone voice assistants to cancer diagnosis, deep learning AI has changed our lives. But did you know that until recently, even scientists didn't fully understand the mathematical principles behind why AI is so smart? We explain the world of 'Deep Learning Theory' that unlocks the secrets of AI in an easy-to-understand way.
An easy-to-understand explanation of why the latest AI model GPT-5.5 failed the new ARC-AGI-3 reasoning test despite conquering existing benchmarks.
Introducing Google's newly released AI model, T5Gemma. We explain the secrets of the 'encoder-decoder' architecture, which is much smarter and more efficient than previous models, along with its ability to read images and summarize long documents from an expert perspective.
Explore Google's newly announced dolphin language translation AI, 'DolphinGemma.' How can this AI, trained on 40 years of data, help bridge the communication gap between humans and animals?