PANews November 12 news, according to Decrypt, Thomas Wolf, co-founder and chief scientist of AI startup Hugging Face, stated at the Web Summit that the company is developing small language models (small LMs) to advance the development of 'next-generation robotics' technology. These small models can execute tasks under low-latency conditions, allowing robots to be applied in real-world environments outside of production lines. Wolf believes that these models can be embedded into smartphones, laptops, and even household appliances to achieve localized AI processing on devices.
Hugging Face released the SmolLM small language model this year, demonstrating the superiority of small models in tasks such as data processing, image processing, and speech recognition. Wolf pointed out that small models can achieve performance similar to large models on specific tasks, but with advantages in speed and efficiency. In addition, Wolf predicts that the future of AI will be divided into two major trends: on one hand, continuously expanding frontier large models for scientific exploration, and on the other hand, small models widely embedded in various devices, becoming ubiquitous like the internet.