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On February 18th, Shanghai Mita Network Technology Co., Ltd. announced the launch of its latest research mode - 'Shallow Research'. This feature aims to quickly gather information and conduct preliminary analysis using AI technology, helping users obtain valuable research results in a short amount of time.

On January 20, the city of Foshan, Guangdong held a release conference for the AI Application Mall for the mold industry and the establishment meeting for the AI Small Model Industry Consortium, marking an important step forward in Foshan's exploration of 'AI+' enabling new productive forces. AI small models refer to artificial intelligence models optimized and customized for specific industries or fields. These models have significant advantages, including low data requirements, low computational resource consumption, low training and optimization costs, and high privacy security. Chen Xinwen, Vice Mayor of Foshan, mentioned at the conference that Foshan relies on manufacturing.

In recent years, training large language models (LLMs) has become increasingly expensive and complex, with only a few major tech companies possessing the necessary computing resources. However, Google has recently introduced a new method called SALT (Small Model-Assisted Large Model Training), which could fundamentally change the landscape of AI training. Image Source Note: The image was generated by AI, and the image is authorized by service provider Midjourney based on the latest research papers from Google Research and DeepMind, 'A Little Help Goes a Long Way: Leveraging Small Language Models...'