Amazon Web Services re:invent 2023, as the annual bellwether of the global cloud computing field, brings brand new product and technology releases to cloud computing enthusiasts and builders around the worldReimagine cloud infrastructure, reimagine compute, reimagine storage, reimagine enterprise-grade generative AIto help customers on the cloud quickly achieve digital transformation and accelerate generative AI innovation for enterprises.
Riding on the momentum of re:invent 2023, we launched it in the Amazon Web Services Developer Community"re:invent 2023 launch product poll campaign".and got the active participation of developers. As of January 31, 2024, a total of 1,493 developers have voted.
Next, we will officially reveal it for youTop 5 list of developers' favorite products and servicesTake a look at the five major products and services "Tiantuan"! With their cutting-edge technologies and innovative features, these five products and services lead the new trend of cloud computing and create a better application experience for developers!
top 1
amazon q
Amazon Q is a new generative AI-powered assistant designed to meet the needs of office scenarios and can be tailored to the customer's business.
Customers canGet relevant answers, generate content, and take action on complex questions quickly– all based on insights from the customer's own information repository, and enterprise systems. The customer's content is never used to train Amazon Q's underlying model。Whether you're building on Amazon Web Services, using internal data and systems, or using Amazon Web Services applications for business intelligence (BI), contact center, and chain management, Amazon Q is a good generative AI-based assistant that helps businesses of all sizes and industries securely use generative AI. In addition, Amazon Web Services is bringing Amazon Q to a variety of services and applications, including: Amazon Q in Amazon QuickSight (preview), Amazon Q in Amazon Connect (generally available), and Amazon Q in Amazon Supply Chain (coming soon).
Learn more about Amazon Q
Developer's voice
Convenience and usability are great for Amazon Q. I can also confidently say that developers are as familiar with their toolkit as they are with their browser tabs. When Amazon Q is integrated into your day-to-day work like any other toolkit, the world of developers becomes completely different.
arunsingh jeyasingh jacob
We can ask Amazon Q specific questions about (fragments), ask for improvements or generate documentation or tests, and even provide suggestions for feature development.
vadym kazulkin
top 2
agents for amazon bedrock
The fully managed Agents for Amazon Bedrock feature is now generally availableEnable generative AI applications to perform multi-step tasks across corporate systems and data sources。Agents can plan and perform most business tasks, such as answering questions about product availability or taking orders. Customers can create agents using a simple setup process – first select the desired model, write some instructions in natural language, and open up their access to the company's enterprise systems and knowledge base; Agents automatically parse requests and break them down into logical sequences, using the model's agents capabilities to determine the information needed; Agents then take action to fulfill the request by identifying the APIs to call and deciding when to call them.
Agents can also retrieve the information needed from proprietary data sources to provide accurate and relevant responses. agents every timePerform this process securely and privately in the background, eliminating the need for customers to design prompts, manage session context, or manually orchestrate systems. With the new GA's Agents for Amazon Bedrock, users can create and deploy fully managed agents in just a few simple steps to perform complex business tasks by dynamically calling APIs.
Learn more about Agents for Amazon Bedrock
Developer's voice
With Agents for Amazon Bedrock, developers can choose from multiple underlying foundation models to power their agents.
mark beccue
top 3
Amazon Bedrock adds support for large models
With Amazon Bedrock, customers can innovate quickly with the latest version of the model, including new launchesanthropic claude 2.1 and Meta Llama 2 70B and the recently launched Stability AI Stable Diffusion XL 10, Meta Llama 2 Chat 13B, Cohere Command Light, Cohere Embed English, and Cohere Embed multilingual models- All accessible via API.
In addition to Amazon Titan Text Embeddings and Amazon Titan Text models, which are now generally available, Amazon Web Services offers Titan Multimodal Embeddings and Amazon Titan Image Generator, providing customers with more choice and flexibility to build generative AI applications using models. Exclusively available from Amazon Bedrock, Amazon Titan models are created and pre-trained by Amazon Web Services on large and diverse datasets for a variety of use cases, with built-in support for the responsible use of AI. Amazon will indemnify customers who use officially available Amazon Titan models or their output for infringement of third-party copyrights.
Learn more about Amazon Bedrock's new large models.
Developer's voice
Because Amazon Bedrock provides access to many of the leading foundational models, developers and business users can now integrate generative AI directly into their workflows by choosing large language models (LLMs) and unlock unprecedented productivity.
Conor Egan, VP of Product at ContentStack.
Amazon Bedrock has direct access to foundational models such as Anthropic, allowing for fast and seamless experimentation, development, and deployment to support our innovation.
Ákos Maróy, Chief Data Officer, NexXiot
top 4
amazon s3 express one zone
Amazon S3 Express One Zone, a new object storage service, can help dramatically reduce the runtime of data-intensive applications, especially those that use hundreds or thousands of parallel compute nodes to process large amounts of data for AI ML training, financial modeling, processing, real-time ad serving, high-performance computing, and more. Amazon S3 Express One Zone is compared to Amazon S3 Standard due to its consistently extremely low latencyRead small objects up to 10 times faster. It offers extremely low latency, plus a higher latency than the object storage service Amazon S3 Standard50% lower request costs, meaning your Spot and On-Demand compute resources can be used more efficiently and can be shut down earlier, reducing overall processing costs.
Learn more about Amazon S3 Express One Zone
Developer's voice
With Amazon S3 Express One Zone's consistent single-digit millisecond request latency, our customers can achieve up to 60% faster queries without any modifications to their workloads.
thomas hazel, founder, cto,and chief scientist of chaossearch
Think of Amazon S3 Express One Zone storage as a turbocharged storage solution for specific needs: for machine learning and AI training, it's like a fast track to data that accelerates the training of intelligent algorithms; For high-performance computing, it is a powerful storage device that can handle complex calculations at extremely fast speeds.
vinicius souza
top 5
amazon redshift serverless
What's new in Amazon Redshift Serverless:Next-generation AI-driven scaling and optimization, use AI models to automatically scale and optimize resources, upgrade the existing query-based resource allocation to query-based, data volume, computational complexity and other dimensions, and use machine learning models to dynamically allocate computing resources to help customers achieve cost-effective goals. With these innovations, Amazon Redshift Serverless is optimized to handle different types of complex production workloads, both large and small, resulting in:Increase price/performance ratio by up to 10 times.
Learn more about Amazon Redshift Serverless
Developer's voice
While traditional Redshift provides customers with many tuning knobs to optimize their data warehouse environments, serverless provides a near-zero touch interface. Customers are only charged for the number of seconds a query runs. At the same time, Serverless retains rich analytics capabilities, such as integration with a wide range of Amazon Web Services services.
Sisyphus. Amazon Redshift Serverless automatically provides you with the right compute resources to get started. As more concurrent users and new workloads are added, it changes with your needs, and your data warehouse automatically scales seamlessly to accommodate the changes.
danilo poccia
At Amazon Web Services Re:Invent 2023, we witnessed a series of exciting technological breakthroughs and innovative products and services. You can click on ithereto recap the highlights of re:invent 2023; You can also click on ithere, view the original link and **original**; At the same time, we also welcome developers to continue to pay attention to and participate in various activities of the Amazon Web Services developer community, and hope that we will work together to promote the continuous progress of technology and build an innovative future!
Let's witness one small step for Amazon together.
A big step forward for cloud computing.