Search results for "Whale"
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AI Tools (3)
AGI Eval: A large model evaluation community and authoritative third-party evaluation platform
151AGI Eval is a large model evaluation community jointly created by top universities and institutions such as Shanghai Jiao Tong University, Tongji University, East China Normal University, and DataWhale, with the mission of "assisting evaluation and making AI a better partner for humanity". The
2026-05-31Alibaba's M6—the world's first 10 trillion-parameter multimodal large model—consumes only 1% of the energy of GPT-3.
87M6 is a general-purpose multimodal large model developed by Alibaba DAMO Academy. In October 2021, it became the world's first AI pre-trained model with 10 trillion parameters. Based on the self-developed Whale distributed framework, it was trained in just 10 days using only 512 V100 GPUs, with energy consumption only 1% of GPT-3. It supports tasks such as image and text generation, visual question answering, and poetry creation, and has been deployed in more than 40 scenarios, including Tmall virtual anchors and Taobao search. It is the core predecessor of the Tongyi Thousand Questions large model.
2026-07-02Little Green Whale Whale Spirit AI Scientific Literature Reader
7Little Green Whale Whale Spirit AI is a specialized large model for scientific research, trained on over 180 million literature datasets and massive scientific parameters through deep learning. It features efficient information processing and precise knowledge extraction, covering 113 first-level disciplines with 160+ million academic papers, 250,000+ professional bilingual terms, 8.28+ million global research fund data points, and 50,000+ international journal data. Compared to the third generation, the fourth generation has comprehensively upgraded in long-text processing, translation accuracy, processing efficiency, and knowledge extraction precision. Unlike generic AI models like DeepSeek, Whale Spirit AI is more professional, accurate, and efficient in scientific research, significantly improving researchers' decision-making and productivity.
2026-07-20