FBE Mentorship Programme 2019-20 empowers students

School news

FBE Mentorship Programme 2019-20 empowers students

25 Oct 2019

The Kick-off Ceremony of Faculty of Business and Economics Mentorship Programme 2019-20 successfully took place on 23 October. We were delighted to welcome a record high of mentors with diversified business background, most of whom are alumni, friends and supporters of the Faculty, as well as about 70 student mentees to embark on this year’s mentorship journey.

Professor Hongbin Cai, Dean of Business and Economics kick-started the event with a warm welcome to our mentors and mentees. He expressed gratitude to mentors for their generous support to the Faculty over the years, and hoped mentees this year could get the most out of the programme.

Three young alumni Mr. Udara Senevirathne (BEcon&Fin 2017), Senior Officer – Business Development, New World Development Company Limited, Mr. Teddy Chiu (BBA(Acc&Fin) 2018), Analyst of Accenture and Ms. Natalie Law (BBA 2019), Analyst of Citi Private Bank, who had previously participated in the Mentorship Programme as mentees had shared their career insights and study tips with current students.

The Faculty strives to provide opportunities for students to connect with the real business world. Mentoring is especially valuable in empowering students by sharing of mentors’ knowledge and experience, encouragement and inspiration. Through regular mentoring sessions in the academic year, we believe students can gain professional and personal developments.

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AI Image Generation Evaluation Results Released: ByteDance and Baidu Perform Well, DeepSeek Janus-Pro Falls Short

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AI Image Generation Evaluation Results Released: ByteDance and Baidu Perform Well, DeepSeek Janus-Pro Falls Short

The frontier of AI models has evolved beyond text processing to encompass the ability to understand and generate visual content. These models not only comprehend images but also generate visual content based on textual prompts. This study presents a systematic evaluation of the image generation capabilities of AI models, focusing on two core tasks: generating new images and revising existing images. Using carefully curated multidimensional test sets, we conducted a comprehensive evaluation of 22 AI models with image generation capabilities, including 15 text-to-image models and 7 multimodal large language models. The results show that ByteDance’s Dreamina and Doubao, as well as Baidu’s ERNIE Bot, demonstrate impressive performance in both new image generation and image revision tasks. Overall, multimodal large language models deliver superior performance compared to text-to-image models.

Press Release

FBE Mentorship Programme 2019-20 empowers students