Generative AI on AWS Sagemaker with Tonny Ouma

JOINT MEETUP with AWS User Group

Speaker: Tonny Ouma - Senior Solutions Architect at AWS

Session Description:
In this session, you will learn about AWS SageMaker and how to leverage AWS’s purpose-built ML accelerators, AWS Trainium and AWS Inferencia, to fine-tune and then run inference using LLM based Llama architecture.
To orchestrate your training and inference workloads, we will showcase how Amazon SageMaker, a fully managed machine learning (ML) service powered by AWS. SageMaker provides an integrated Jupyter notebook environment, making it easy for data scientists and developers to build, train, and deploy ML models. You can author ML code, explore data, and analyze results without the need for server management.

Speaker Bio
Tonny is an ML engineer who loves building generative AI-based applications and tools. In his current role, Tonny leads the design, research, and development of AI-powered applications as part of the AWS Prototyping team, working with enterprise customers looking to leverage LLMs to solve challenging problems in various industry verticals, such as clinical trials within the healthcare industry.

Join us at 6:00 for refreshments, food, and conversations. The presentation will start at 6:30 at Tech Hill Commons - 500 Interstate Blvd. Sponsored by CGI and the Nashville Technology Council.