Antler

Why are you participating for Based India?

Organizations of all sizes and types are harnessing large language models (LLMs) and foundation models (FMs) to build generative AI applications that deliver new customer and employee experiences. With enterprise-grade security and privacy, access to industry-leading FMs, and generative AI-powered applications, AWS makes it easy to build and scale generative AI customized for your data, your use cases, and your customers.

What challenges are you focusing on?

Organizations of all sizes and types are harnessing large language models (LLMs) and foundation models (FMs) to build generative AI applications that deliver new customer and employee experiences. With enterprise-grade security and privacy, access to industry-leading FMs, and generative AI-powered applications, AWS makes it easy to build and scale generative AI customized for your data, your use cases, and your customers.

How does your submission address this challenge?

Innovate faster with new capabilities, a choice of industry-leading FMs, and infrastructure that pushes the envelope to deliver the highest performance while lowering costs. Reimagine customer experiences, boost productivity, fuel insights, and drive innovation.

Challenges we ran into

The rapid growth of generative AI brings promising new innovation and, at the same time, raises new challenges. At AWS, we are committed to developing AI responsibly, taking a people-centric approach that prioritizes education, science, and our customers—to integrate responsible AI across the end-to-end AI lifecycle with tools like Guardrails for Amazon Bedrock, Amazon SageMaker Clarify, and much more.

Additional Features

Customers across industries are harnessing the power of generative AI on AWS to boost employee productivity, deliver exceptional customer experiences, and streamline business processes.