Vary-toy: A Compact Large Language Model with Advanced Visual Vocabulary for Easy Object Recognition

Small Model Empowers Legal Industry: LexisNexis Launches AI Assistant Protégé

Collaboration of Small Models and Large Models! Mita AI Search Launches 'Shallow Research' Feature

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.

Foshan, Guangdong Establishes AI Small Model Industry Consortium

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.

Microsoft Collaborates with Tsinghua and Peking University to Launch rStar-Math Technology: Small Model Triumphs Over Mathematical Problems, Surpassing OpenAI!

AI Daily: 'Jichuang' Official Version Launched; 2024 Hurun China AI Company Top 50 List; Tongyi Wuxiang Launches 2.1 Video Model; Microsoft Open Sources Powerful Small Model Phi-4

Welcome to the 'AI Daily' section! Here is your daily guide to exploring the world of artificial intelligence. Every day we present you with hot topics in the AI field, focusing on developers, helping you gain insights into tech trends and innovative AI product applications. Discover fresh AI products here: https://top.aibase.com/ 1. Jianteng Engine's AIGC tool 'Jichuang' officially launched, providing various content generation methods, including AI script generation, intelligent editing, and digital humans.

Microsoft Officially Open Sources Powerful Small Model Phi-4, Performance Testing Surpasses GPT-4o and Llama-3.1

Google Uses Small Models to Accelerate AI Training of Large Models, Improving Efficiency by 28%

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...'

NVIDIA AI Small Model Controls Humanoid Robots, 1.5M Parameters Outperform Professional Systems

Zamba2-7B: Small Model, Big Energy, Leading the New Era of AI

Have you ever been troubled by the huge computational resource demands of AI models? Do you wish to have a powerful yet efficient language model to enhance your work efficiency? Zamba2-7B, a 7B scale language model developed by the Zyphra team, may surprise you. Your AI efficiency dilemma can be solved by Zamba2-7B. In today's world, where AI applications are becoming increasingly popular, we often face the problems of large model sizes and excessive computational resource consumption. This not only limits the popularization of AI technology but also hinders more innovative possibilities.

Jina AI Launches Revolutionary Small Model to Effortlessly Convert HTML to Elegant Markdown!

Jina AI has introduced two small language models designed specifically for transforming raw HTML content into clean and tidy Markdown format, helping us move away from tedious web data processing. The model, named Reader-LM, stands out for its ability to quickly and efficiently convert web content into Markdown files. The benefit of using it is that you no longer need to rely on complex rules or cumbersome regular expressions. These models cleverly auto-remove clutter from web pages.