Samsung’s AI lab in Montreal new Tiny Recursive Model with only 7M parameters performs as well, if not better in some ...
Notably, TRM scored higher than models such as Google’s Gemini 2.5 Pro (37%), OpenAI’s o3-mini-high (34.5%), and DeepSeek-R1 ...
Released this week, the Tiny Recursive Model or TRM has just 7 million parameters, far fewer than most other AI models. Yet ...
A Samsung researcher has developed a tiny seven-million-parameter AI model that solves puzzles better than much larger LLMs like DeepSeek, o3-mini, and Gemini 2.5 Pro.
A 7M-parameter AI model from a Samsung researcher, TRM, outperforms giants like Google's Gemini on complex reasoning tasks, ...
In recent years, artificial intelligence has been shaped by the race to build ever larger models. Each new release has been measured by the number of parameters, the size of the training data, and the ...
Multiverse Computing uses quantum physics-inspired algorithms to shrink AI models—making them cheaper and more energy-efficient.