• ByteDance released its own large language models (LLMs) like Open AI, with the main model ‘Doubao’ priced significantly lower than rivals in China.
  • Chinese tech giants, including Alibaba and Tencent, followed suit with price cuts for their LLMs.
  • The performance gap between LLMs is narrowing, leading to a price war in China and similar trends in the US.
  • Chinese startups focus on commercializing LLMs and AI applications due to limited access to advanced chips and financial capital.
  • Generative AI tools like CapCut’s Dreamina (Jimeng) are being used for video editing, content creation, and personalized story crafting.
  • FancyTech, an AI startup, won LVMH’s 2024 Innovation Award for using generative AI to create videos from 3D product models.
  • The World Economic Forum’s AI Governance Alliance aims to create responsible AI governance frameworks.
  • A shift towards small language models (SLMs) is emerging for specific applications, offering adaptability and responsiveness crucial for real-time tasks.
  • China’s AI market is focusing on SLMs for edge computing and IoT applications, leveraging limited resources effectively.
  • Emerging markets can leverage their proprietary data and subject matter expertise to leapfrog in digital transformation using AI.

私の考え:
中国のAI市場は、LLMsや特定アプリケーション、SLMsなどを活用することで、限られた資金やコンピューティングリソースでも機会を生かすことができることを示しています。また、独自のデータや専門知識を活用することで、新興市場はデジタル変革に飛躍する機会をつかむことができます。AIの波を利用して、デジタルインフラを構築し、クリエイティブにAIを導入することができる時期に来ています。

元記事: https://www.weforum.org/agenda/2024/06/why-emerging-markets-should-be-part-of-the-commercialization-of-llm-models/