AWS Launches New Tools for Building with Generative AI

AWS Launches New Tools for Building with Generative AI | Amazon Web Services

AWS has recently announced four innovative additions to its machine learning portfolio to make generative AI more accessible to its customers. As a pioneer in AI, AWS has aided over 100,000 customers of varying sizes and industries in innovating with ML and AI, and their new solutions are set to drive the next wave of innovation, making generative AI easier, practical, and cost-effective.

Enabling Multi-Modal AI:

The new offerings include Amazon Bedrock, a service designed for building and scaling generative AI applications that can generate text, images, audio, and synthetic data in response to prompts. Amazon Bedrock gives customers access to foundation models (FMs), the ultra-large ML models that generative AI relies on, and exclusive access to the Titan family of foundation models developed by AWS. This service also provides an array of foundation models from leading providers, giving AWS customers flexibility and choice to use the best models for their specific needs.

Improving AI Workload Efficiency:

Another notable addition is the general availability of Amazon EC2 Inf2 instances powered by AWS Inferentia2 chips, which helps to lower the cost and energy consumption of running generative AI workloads. AWS Inferentia chips offer the most energy-efficient and cost-effective solution for running demanding generative AI inference workloads at scale on AWS.

The new Trn1n instances, powered by AWS Trainium chips, also allow for custom silicon to train models faster. As generative AI models need to be trained to offer the right answer, image, insight, or other focus, this service helps to speed up the training process.

Leveraging Generative AI:

Lastly, AWS has announced free access to Amazon CodeWhisperer for individual developers, providing real-time coding assistance powered by generative AI. CodeWhisperer uses generative AI to provide code suggestions in real-time, based on a user’s comments and their prior code. Individual developers can access this service for free without any usage limits.

Simplifying Generative AI:

Swami Sivasubramanian, VP of Databases, Analytics, and Machine Learning, stated that AWS cuts through the noise to make generative AI easy, practical, and cost-effective for customers by providing solutions at every layer of the ML stack, including infrastructure, ML tools, and purpose-built AI services. Bedrock is the easiest way for customers to build and scale generative AI applications using foundation models, and Amazon CodeWhisperer is the best AI coding companion for coding securely and using AI responsibly.

Through these innovative solutions, AWS aims to provide access to powerful tools and technologies that enable developers to create intelligent applications without requiring extensive expertise in machine learning. This democratization of AI will empower organizations of all sizes to leverage the benefits of generative AI for a wide range of use cases, unlock insights, and power new possibilities.