We explain, through the relationship between symbols and neural networks, what happens inside neural networks when modern AI performs logical reasoning.
Introducing 'Dyna-2', an AI trained on 1 million hours of human daily video, showcasing a new scaling law for how robots learn human behavior.
Discover how to start your AI study journey through the first lecture of the 2026 Fall semester of Carnegie Mellon University's famous AI introductory course, '11-785 Introduction to Deep Learning'.
We explain simply why local AI models running directly on your computer feel less capable than cloud services and how to fix it.
We explain in simple terms why 'gradient descent,' the method used by artificial intelligence to learn from complex data, is so powerful, and its amazing potential known as 'universality.'
Discover how to use AirLLM technology to run large language models of 70B or larger on your personal PC without a high-performance graphics card.
Introducing the latest technologies that allow for AI model tuning (SFT, DPO, GRPO) on standard home 8GB graphics cards, without the need for expensive servers.
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?