議題
How to build a powerful AI VR Virtual Assistant with AWS AI/ML service and OpenAI?
The emergence of generative AI with large language models has led to the creation of a highly efficient virtual assistant that integrates all AWS AI/ML services with OpenAI API or Hugging Face pre-trained models. This AI assistant is a serverless application that uses a simple static website hosted on Amazon S3 and fronted with Amazon CloudFront. It can respond to user queries via voice or text inputs and engages in continuous conversation with the host using Amazon Transcribe streaming in fully hands-free mode. Authentication is achieved through the use of an AWS API Gateway API key with usage plans, and conversations are saved in Amazon S3 for monitoring and assessment. The AI assistant also supports VR mode and the Awesome ChatGPT prompts integration. The system can be deployed using AWS CDK with just a few lines of commands.
講者
Shing Seto
Shing Seto is a highly motivated individual who is passionate about cloud computing and data centre administration. He is currently a first-year student pursuing a Higher Diploma in Cloud and Data Centre Administration under the guidance of Cyrus Wong. Shing is an AWS Community Builder, AWS Educate Student Ambassador, and Github Campus Expert, and is determined to become a multi-cloud certified full stack cloud developer.
講者
Cyrus Wong
Cyrus Wong is an accomplished senior lecturer who oversees the Higher Diploma program in Cloud and Data Centre Administration at the Department Information Technology of IVE(Lee Wai Lee) in Hong Kong in Hong Kong. He is a passionate advocate for the adoption of cloud technology across various media and events. With his extensive knowledge and expertise, he has earned prestigious recognitions such as AWS Machine Learning Hero, Microsoft Azure MVP, and Google Developer Expert for Google Cloud Platform. As an expert in cloud-based AI solutions, Cyrus has designed and developed various online education platforms using AWS AI services like Amazon Kendra, Amazon Comprehend, Amazon Rekognition, and Amazon AI language services, among others.