Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
Join us for an exciting evening of learning and networking at the AWS User Group meetup focused on machine learning and generative AI. This event is designed to bring together enthusiasts, professionals, and experts in the field to share their knowledge, insights, and real-world experiences with the AWS community.
During this meetup, we will dive deep into the fascinating world of generative AI and explore how it is transforming industries and creating innovative solutions. Our lineup of industry experts will deliver insightful talks, demos, and case studies, showcasing the latest advancements in generative AI technologies on the AWS platform.
Language: English
The emergence of interactive large language models (LLMs) has marked a significant milestone in technology, seamlessly integrating into the daily lives of users with remarkable performance and rapid evolution. Initially, the capabilities and limitations of LLMs were ambiguous to both the public and the academic community. This presentation will introduce a pioneering evaluation framework that conducted a comprehensive technical assessment of LLMs, focusing on their multi-task and reasoning abilities. It will also overview current benchmarking trends and the latest advancements in LLMs, emphasizing the importance of user comprehension of these benchmarks. Additionally, the talk will discuss ongoing challenges within the domain of LLMs, highlighting critical areas for user awareness and engagement.
Speaker: Yejin Bang
Alex helped start Tecky Academy and has helped over 1,000 students in Hong Kong learn about tech. He first got into programming by making text games on IRC long ago. Recently being named as AWS Community Hero, Alex loves teaching and sharing what he knows. At work, he makes software and teaches others how to do it too. For fun, he likes to create small tools for friends. Outside of tech, he enjoys hiking, running, and cooking. If you're still reading this, yes, it's been written by gpt to tell you all about Alex.
Cyrus Wong is Senior Lecturer of Hong Kong Institute of Information Technology (HKIIT) at Lee Wai Lee. He is AWS Hero since 2016 and actively promotes the use of AWS in different media and events. His projects have received four Hong Kong ICT Awards in 2014, 2015, 2016, 2020 and all winning projects are running solely on AWS using Data Science and Machine Learning services.Cyrus also helps to deliver the full-time course “Higher Diploma in Cloud and Data Centre Administration,” which is the first tertiary course in Asia dedicated to providing Cloud Technology training. The course is committed to providing AWS Academy training to Hong Kong students and Cyrus is the world first AWS Academy Accredited Trainer. He incorporates AI/ML into his daily curriculum and often writes about projects.
Jason is a data scientist, specialising in predictive maintenance and vibration analysis. With a background in machine learning and deep learning, Jason has developed advanced models to support these projects. Jason holds a degree and master's from the Chinese University of Hong Kong (CUHK), where they honed their skills and expertise in data science and engineering.
Kitson is an AWS Community Builder, a Lecturer at the Hong Kong Institute of Information Technology (HKIIT), an AWS Authorized Instructor Champion with 12 AWS Certifications, and a former AWS Technical Trainer. Kitson has multiple years of experience in the worldwide IPTV industry, where he has been involved in project management and software development for hospitality systems in more than 20 countries/cities.
Yejin Bang is a Ph.D. Candidate at the Center for AI Research (CAiRE) at The Hong Kong University of Science and Technology (HKUST), specializing in Natural Language Processing (NLP) and Responsible AI. Her research encompasses Large Language Model (LLM) Evaluation, Human Value Alignment, and AI Safety. She has made notable contributions, including projects on multitask, multilingual, and multimodal ChatGPT evaluations, framing bias reduction through neutral multi-news summarization, and few-shot fact-checking. Yejin's work has been recognized at key conferences such as EMNLP, NAACL, AACL, and AAAI, with a strong focus on safety, bias, and ethics in AI. Significantly, her work was selected for the Top 100 AI Contributions of 2022-2023 by BenchCouncil. Yejin earned her Bachelor's degree in Computer Science.
