Core Viewpoint - The article introduces a new feature called "Personal Meeting" from Alpha Engine, which allows investment professionals to use AI to attend multiple online meetings simultaneously, enhancing efficiency in a high-density information environment [1][5]. Group 1: Personal Meeting Feature - The "Personal Meeting" feature enables AI avatars to join various online meetings, automatically generating transcripts and meeting notes, with data transmitted securely and privately [5][8]. - Currently, the feature supports Tencent Meeting and several brokerage platforms, with plans to expand to more platforms in the future [5][22]. - Users can link their accounts and send meeting details to the AI assistant, which will then join the meeting and provide a recording and summary afterward [5][6]. Group 2: Knowledge Management - The AI assistant also functions as a knowledge collection tool, allowing users to forward reports, audio files, and articles via WeChat for automatic transcription and summarization, organizing documents into a personal knowledge base [11][12]. - The assistant integrates with a proprietary financial model, FinGPT, which is fine-tuned for investment research scenarios, enabling users to interact with their AI research analyst through WeChat [12][14]. Group 3: Deep Research Functionality - Alpha Engine has launched a "Deep Research" feature that can independently conduct complex research tasks by generating a framework and sourcing information from hundreds of materials, including web pages and PDFs [15][16]. - This feature can produce a comprehensive research report in 15-20 minutes, which would typically take a human analyst several hours to complete [17][18]. - The integration of high-quality financial data and a robust corpus enhances the effectiveness of the research conducted by the AI [19]. Group 4: Accessibility and Promotion - The "Personal Meeting" feature is available to all platform customers, while the "Deep Research" feature is currently in a trial phase for institutional clients [22]. - A promotional offer allows 100 users to experience a 30-day VIP trial, with a deadline for registration set for April 31 [22][23]. - Users can access the platform via a web portal or mobile app, with specific instructions provided for registration and usage [24][25].

Core Viewpoint - The collaboration between Hong Kong University of Science and Technology (HKUST) and Alpha Technology Group Limited (ATGL) aims to establish the "AIphaMind Lab" to develop the "Alpha Engine," an AI training engine that seeks to reduce reliance on large datasets and manual labeling, promoting the democratization of AI technology [1][5]. Group 1: Partnership and Objectives - The signing ceremony was co-hosted by HKUST's Vice President and ATGL's Executive Director, highlighting the collaboration between academia and industry to drive innovation in AI foundational technologies [2][3]. - The core goal of the Alpha Engine is to significantly reduce the time and cost associated with high-quality data collection and manual labeling, aiming to compress the development time for custom AI models from 6-9 months to as little as 3 hours [5][9]. Group 2: Industry Impact and Vision - ATGL has been focusing on customized applications of large language models (LLM) since 2017, successfully competing against major international tech companies in various government and enterprise projects [5]. - The successful development of the Alpha Engine could transform customized AI from a luxury to a necessity, enabling small and medium-sized enterprises (SMEs) to compete more effectively by overcoming data resource limitations [5][9]. - If the Alpha Engine meets its objectives, it is expected to enhance AI development efficiency by over 100 times, allowing sensitive industries like healthcare and manufacturing to deploy models quickly while enabling resource-constrained SMEs to optimize operations at lower costs [9]. Group 3: Future Plans and Educational Support - ATGL plans to establish a fund to support ongoing collaborations with local universities in AI and to assist Hong Kong's primary and secondary school teachers in enhancing their AI application skills, thereby accelerating AI education development in the region [7].