Pallavi Nargund

Join us for this hands-on Code Talk where we'll dive deep into building advanced Retrieval-Augmented Generation (RAG) architectures that effectively handle large-scale documents.

Time series forecasting is applicable across any industry. Use cases include demand forecasting, inventory planning, workflow scheduling, and financial planning, to name a few.

It’s crucial for startups to get to market early with a minimum viable product and iterate as they gather feedback. For this reason, overhead reduction is one of the most important goals of hypergrowth startups.

The field of natural language processing (NLP) is developing rapidly, and NLP models are growing increasingly large and complex. Through strong ecosystem partnerships with organizations like Hugging Face and advanced distributed training capabilities, Amazon SageMaker is one of the easiest platforms with which to quickly train NLP models.

This chalk talk discusses how an interactive virtual classroom training can be developed using AWS services. It shows how to easily build scenes for virtual classrooms using Amazon Sumerian, make it interactive using AI services (Amazon Polly and Amazon Lex), and make it dynamic using AWS Lambda.