超级应用爆发在即，如何打通人工智能应用落地的最后一公里？

Core Insights - The integration of data to model capabilities is crucial for the implementation of AI large models, addressing the industry's need for achieving minimum viable intelligence for application scenarios [1][4] - The WAIC 2023 showcased significant product launches from domestic AI companies, emphasizing platformization and ecosystem development [3] - Collaboration among AI companies is essential to bridge the gap in AI application deployment, with a consensus on building ecosystems [3][4] Group 1: AI Ecosystem Development - The "Model Core Ecosystem Innovation Alliance" was initiated by Step Star and several infrastructure partners to enhance model adaptability and computing efficiency [3] - The AI infrastructure provider PPIO launched the first domestic Agentic AI infrastructure service platform to lower technical barriers and development costs for AI applications [3] - The establishment of the "Computing Power Ecological Supermarket" by Huawei Ascend and Wunwen Xinqun marks a significant step in collaborative ecosystem building [3] Group 2: Industry Collaboration and Talent Development - The collaboration between Step Star and Wunwen Xinqun focuses on designing models that are more compatible with domestic chips, addressing the differences between domestic and foreign technologies [4] - The financial sector is identified as a key area for the deployment of large models, with companies shifting towards industry-specific intelligent agents [4] - The need for cross-disciplinary talent is emphasized, with educational adjustments being made to better prepare students for real-world AI applications [4][5]