Sam Palani

Stand up a continuous evaluation pipeline for your generative AI applications. In this hands-on workshop, you'll build an end-to-end evals infrastructure using Amazon Bedrock and open-source tooling.

​Agentic applications interpret inputs and take actions within a customer’s enterprise environment, and model customization enables agents that understand the business and provides responses or actions that are appropriate for the use case.

Explore the intricacies of crafting responsible ML architectures in the age of generative AI and foundational models. This chalk talk delves into key questions: How can we counteract bias?

TensorFlow is one of the most popular open-source deep learning frameworks used in machine learning, but it can be challenging to scale TensorFlow model training and inference. In this chalk talk, learn about Amazon SageMaker features that address these challenges, including distributed training, cost-effective inference, and workflow management.