Amazon Web Services, Inc. (AWS), a subsidiary of Amazon, has announced a series of new offerings for generative artificial intelligence (AI). The innovations aim to empower organizations of varying sizes to develop new generative AI applications, boost employee efficiency, and revolutionize their operations.
Central is the launch of Amazon Bedrock, a fully managed service designed to provide access to foundation models (FMs) from leading AI companies via a single application programming interface (API). The move is seen as a direct response to Microsoft's Azure OpenAI Service, which provides robust access to some of OpenAI's most powerful language models.
Amazon Bedrock: A Central Hub for Foundation Models
Amazon Bedrock is set to democratize access to AI, allowing businesses to harness the power of generative models without the complexities of infrastructure management. Moreover, AWS has expanded its offerings by making the Amazon Titan Embeddings model generally available and announcing the upcoming inclusion of Llama 2 on Amazon Bedrock. This move marks Amazon Bedrock as the first managed service to offer Meta's Llama 2 through an API.
Enhancing Developer Productivity with Amazon CodeWhisperer
AWS is also enhancing its AI-powered coding companion, Amazon CodeWhisperer. The tool, which aids developers by providing AI-driven code suggestions, will soon have a new feature that allows for customization based on an organization's internal codebase. This ensures that the code suggestions are more relevant and aligned with the company's specific coding practices and standards. As a direct copetitior to GitHub Copilot, Amazon CodeWhisperer stands out for being offered completely free. You can use it inside some of the most popular IDEs, such as PyCharm and Visual Studio Code. It works with Python, JavaScript, and Java languages for now.
Generative Business Intelligence with Amazon QuickSight
In a bid to streamline business analytics, AWS is also introducing Generative Business Intelligence (BI) authoring capabilities for Amazon QuickSight. This feature will enable users to generate visuals, format charts, and perform calculations using natural language commands. By simply describing their desired outcome, analysts can have QuickSight generate compelling visuals, reducing the time and effort typically required for such tasks.
