Generative AI will profoundly change the way every company operates, marking a new inflection point in the development of artificial intelligence technology. Amazon Cloud Technology announced at the New York Summit yesterday that it has launched seven new generative AI functions, further lowering the threshold for using generative AI , so that both business users and developers can benefit from it. With these new capabilities, companies from all walks of life can focus more on their core business, improve productivity, and fully unlock the value of data and the potential of generative AI.
Swami Sivasubramanian, Global Vice President of Database, Data Analytics and Machine Learning at Amazon Cloud Technologies, delivered a keynote speech at the Amazon Cloud Technology New York Summit
Amazon Bedrock Expands with New Base Models, Base Model Providers, and Agents Capabilities
Amazon Cloud Technology announced the comprehensive expansion of its fully managed basic model service Amazon Bedrock , including adding Cohere as a basic model provider, adding the latest basic models from Anthropic and Stability AI, and releasing the transformative new feature Amazon Bedrock Agents .
Cohere is committed to developing leading enterprise AI platforms and leading-edge underlying models that more intuitively generate, retrieve and summarize information. Anthropic is a research company focused on AI security, building trustworthy, explainable and controllable AI systems. Anthropic has ported its latest language model, Claude 2, to Amazon Bedrock. Stability AI is a community-driven open AI company that provides foundational models that create text, images, audio, video, code, and more from simple text commands. Stability AI is releasing the latest version of its Vincent graphical model suite, Stable Diffusion XL 1.0 (SDXL 1.0), on Amazon Bedrock .
The Amazon Bedrock Agents feature will help developers easily create fully managed AI Agents. The Amazon Bedrock Agents feature helps businesses accelerate the delivery of generative AI applications that manage and execute tasks by making API calls to corporate systems. Amazon Bedrock Agents capabilities extend the underlying model to understand user requests, break down complex tasks into steps, conduct conversations to gather additional information, and take actions to fulfill user requests. With the Amazon Bedrock Agents feature, users can automate tasks for internal or external customers, such as managing retail orders or processing insurance claims. For example, with the Agents feature, a generative AI application for a service e-commerce company can not only answer simple questions (such as “Is there a blue jacket?”), but also help users complete complex tasks (such as updating orders or managing transactions).
Amazon EC2 P5 instances generally available to accelerate generative AI and high-performance computing applications
Amazon Cloud Technology announced the general availability of Amazon Elastic Compute Cloud (Amazon EC2) P5 instances. This is a next-generation GPU instance that meets customers' needs for high performance and high scalability when running artificial intelligence, machine learning, and high-performance computing workloads. The instance is powered by the latest Nvidia H100 Tensor Core GPUs , reducing training time by up to 6x (from days to hours) compared to previous generation GPU-based instances. This performance boost will help customers reduce training costs by up to 40%.
Amazon EC2 P5 instances provide 8 NVIDIA H100 Tensor Core GPUs with 640GB of high-bandwidth GPU memory, while providing third-generation AMD EPYC processors, 2TB of system memory, and 30TB of local NVMe storage. Amazon EC2 P5 instances also offer 3200Gbps of aggregated network bandwidth and support for GPUDirect RDMA, enabling inter-node communication that bypasses the CPU for lower latency and efficient scale-out performance .
Vector Engine for Amazon OpenSearch Serverless makes it easy for customers to build modern generative AI applications
Amazon Cloud Technologies announced the release of Vector Engine for Amazon OpenSearch Serverless. After general availability, the vector engine supports simple API calls and can be used to store and query billions of Embeddings. In the future, all Amazon cloud technology databases will have vector functions to help customers simplify operations and facilitate data integration.
Embeddings should be stored close to the source data, and a range of factors will affect how an enterprise chooses the option that is best for them, including current data storage location, familiarity with database technology, expansion of vector dimensions, number and performance of Embeddings demand etc. Therefore, Amazon Cloud Technology also provides the following options for more advanced vector data storage needs:
● Amazon Aurora PostgreSQL compatible relational database, supports pgvector open source vector similarity search plug-in;
● Distributed search and analysis service Amazon OpenSearch with k-NN (k nearest neighbor) plugin and vector engine for Amazon OpenSearch Serverless;
● Compatible with PostgreSQL's Amazon RDS (Amazon Relational Database Service) relational database, and supports the pgvector plug-in.
Amazon CodeWhisperer integrates with Amazon Glue to further improve development efficiency
Recently, Amazon Cloud Technology announced that Amazon CodeWhisperer is officially available . This is an AI programming assistant that uses the underlying underlying models to help developers be more productive. It can generate code suggestions in real time based on comments left by developers using natural language and historical code in IDE (Integrated Development Environment). In addition, Amazon Cloud Technology has released the Amazon CodeWhisperer Jupyter extension, which generates real-time, single-line or complete function code suggestions for Jupyter users' Python Notebooks in Jupyter Lab and Amazon SageMaker Studio.
Now, Amazon Cloud Technology officially announced that Amazon Glue Studio Notebooks supports Amazon CodeWhisperer , helping Amazon Glue users optimize their experience and improve development efficiency. With Amazon Glue Studio Notebooks, developers can write specific tasks in natural language (English), such as "create a Spark DataFrame from the contents of a json file". Based on this information, Amazon CodeWhisperer recommends one or more code snippets directly in Notebooks that accomplish this task. Developers can choose to "Accept Most Recommended Suggestion", "See More Suggestions" or "Continue to write code yourself".
Amazon QuickSight adds generative BI function to upgrade natural language human-computer interaction
Amazon Cloud Technology announced that it is combining the large language model capabilities provided by Amazon Bedrock with Amazon QuickSight Q, which supports natural language question answering, in order to provide generative BI capabilities in Amazon QuickSight. The feature, which will soon be available in Amazon QuickSight, helps businesses easily explore data, discover and share insights.
With the new generative BI capabilities in Amazon QuickSight, business analysts can use natural language to easily perform everyday tasks, including:
● Create data visualization charts in seconds based on Amazon QuickSight Q’s new visual authoring experience;
● Use natural language to fine-tune and format chart effects;
● Computational tasks can be created through natural language without learning a specific syntax.
For business users who use dashboards and need to interact with them, Amazon Cloud Technology also released the Stories function to help business users use the powerful capabilities of generative BI to generate, customize, and share highly informative visualizations through natural language prompts chart.
Amazon Entity Resolution is generally available, empowering enterprises to improve data quality and gain customer insights
Amazon Cloud Technologies announced the general availability of Amazon Entity Resolution. It is an analytics service powered by machine learning that helps businesses easily analyze, match, and correlate related records that may be stored in applications, different data acquisition channels, and data stores.
Amazon Entity Resolution aggregates customer, business, and product information using rules-based and machine learning-based technologies to customize workflows . Business analysts and developers can quickly improve data accuracy with built-in, preconfigured workflows, or customize workflows to meet enterprise needs. With Amazon Entity Resolution, companies can better understand the association, matching, and linking of data, while digging deeper into customer insights and clearly capturing supply chain data to improve operational capabilities, conduct more effective marketing, and make complex financial investment decisions. Amazon Cloud Technologies also announced plans to add two Amazon Entity Resolution partners, LiveRamp and TransUnion, while enhancing interoperability with the Unified ID 2.0 open source framework. Through these integrations, customers will be able to more easily translate or enrich their records while better protecting information and reducing data movement.
Amazon HealthScribe Helps Build Medical Applications with Generative AI
Amazon Web Services announced Amazon HealthScribe , a new HIPAA (Health Insurance Accountability and Protection Act)-compliant service that helps medical software providers build clinical applications. These apps use text recognition and generative AI techniques to generate clinical documents, saving physicians time.
With Amazon HealthScribe, healthcare software providers can automatically create reliable records by calling an API, extract key information (such as medical terms and medications), create summaries from doctor-patient conversations, and then enter this data into electronic health records (EHRs) system. Amazon HealthScribe , powered by Amazon Bedrock, enables medical software vendors to more quickly and easily integrate generative AI capabilities into their applications. In general medicine and orthopedics, two common specialties, medical software vendors are already using Amazon HealthScribe, eliminating the need to manage the underlying machine learning infrastructure or train their own medical-specific large language models (LLMs).
Immediately click the live broadcast appointment card below or see the poster below for details to unlock the new release of Amazon Cloud Technology's generative AI in-depth interpretation and more information. See you at 19:00 tonight!
I heard, click the 4 buttons below
You will not encounter bugs!
