Artificial Intelligence (AI)

We are excited to announce new AWS AI Service Cards, a resource to increase transparency and help customers better understand our AWS AI services, including how to use them in a responsible way. AI service cards are a form of responsible AI documentation that provides customers with a single place to find information on the intended use cases and limitations, responsible AI design choices, and best deployment and operation best practices for our AI Services. They are part of a comprehensive development process we undertake to build our services in a responsible way with fairness, explainability, veracity and robustness, governance, transparency, privacy andsecurity, safet…

This week on KDnuggets: Start learning how to build machine learning models today with these free machine learning courses • See how ChatGPT creates jaw-dropping data viz with just a few words • And much, much more!View the full article

Anthropic’s Claude 2.1 foundation model is now generally available in Amazon Bedrock. Claude 2.1 delivers key capabilities for enterprises, such as an industry-leading 200,000 token context window (2x the context of Claude 2.0), reduced rates of hallucination, improved accuracy over long documents, system prompts, and a beta tool use feature for function calling and workflow orchestration. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Anthropic, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation model…

Stability AI’s Stable Diffusion XL 1.0 (SDXL 1.0) foundation model is now generally available on-demand in Amazon Bedrock. SDXL 1.0 is the most advanced development in the Stable Diffusion text-to-image suite of models launched by Stability AI. The model generates images of high quality in virtually any art style and it excels at photorealism. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models from leading AI companies, like Stability AI, along with a broad set of capabilities that provide you with the easiest way to build and scale generative AI applications with foundation models. View the full article

Today, we’re announcing the availability of Anthropic’s Claude 2.1 foundation model (FM) in Amazon Bedrock. Last week, Anthropic introduced its latest model, Claude 2.1, delivering key capabilities for enterprises such as an industry-leading 200,000 token context window (2x the context of Claude 2.0), reduced rates of hallucination, improved accuracy over long documents, system prompts, and a beta tool use feature for function calling and workflow orchestration. With Claude 2.1’s availability in Amazon Bedrock, you can build enterprise-ready generative artificial intelligence (AI) applications using more honest and reliable AI systems from Anthropic. You can now use the…

When OpenAI released ChatGPT on November 30, 2022, no one could have anticipated that the following 6 months would usher in a dizzying transformation for human society with the arrival of a new generation of artificial intelligence. Since the emergence of deep learning in the early 2010s, artificial intelligence has entered its third wave of development. The introduction of the Transformer algorithm in 2017 propelled deep learning into the era of large models. OpenAI established the GPT family based on the Decoder part of the Transformer... View the full article

BI is an overarching framework used by businesses to prepare data for analytics reporting and AI use cases, which in turn support business operations and decision-making.View the full article

Now AWS gets a ChatGPT-style Copilot: Amazon Q to be your cloud chat assistantView the full article

Amazon Q, a generative AI–powered assistant that is specifically designed for work and can be tailored to your business, is available in Amazon Connect. Amazon Q in Connect delivers real-time recommendations that help contact center agents resolve customer issues quickly and accurately, helping improve both agent productivity and customer satisfaction. This generative AI assistant, which includes functionality formerly available as Amazon Connect Wisdom, can help agents detect customer intent during calls and chats using conversational analytics and natural language understanding (NLU), then provides agents with generated responses and suggested actions, along with links …

Today, AWS announces a range of capabilities in preview in Amazon Q to supercharge work for developers and IT professionals and provide expert assistance when building, deploying, and operating applications and workloads on AWS. Amazon Q is a generative AI-powered assistant that can be tailored to your business, code, data, and operations. View the full article

Today, AWS announces Amazon Q, a new generative AI–powered assistant that is specifically designed for work and can be tailored to your business to have conversations, solve problems, generate content, and take actions using the data and expertise found in your company’s information repositories, code, and enterprise systems. View the full article

Today, we are announcing a preview of an automation feature backed by generative artificial intelligence (AI) for Amazon DataZone that will dramatically decrease the amount of time needed to provide context for organizational data. The new feature can automate the traditionally labor-intensive process of data cataloging. Powered by the large language models (LLMs) of Amazon Bedrock, it generates detailed descriptions of data assets and their schemas, and suggests analytical use cases. You can generate a comprehensive business context with a single click. We heard from customers that data consumers such as data analysts, scientists, and engineers in organizations struggl…

If you manage a contact center, then you know the critical role that agents play in helping your organization build customer trust and loyalty. Those of us who’ve reached out to a contact center know how important agents are with guiding through complex decisions and providing fast and accurate solutions where needed. This can take time, and if not done correctly, then it may lead to frustration. Generative AI capabilities in Amazon Connect Today, we’re announcing that the existing artificial intelligence (AI) features of Amazon Connect now have generative AI capabilities that are powered by large language models (LLMs) available through Amazon Bedrock to transform how…

Today, Amazon QuickSight announces three new natural language capabilities enabled by Amazon Q for business users. Launching in preview, these capabilities can summarize dashboards, generate mini dashboards to answer data questions, and build stories explaining data. View the full article

Today, I’m happy to share that Amazon Q in QuickSight is available for preview. Now you can experience the Generative BI capabilities in Amazon QuickSight announced on July 26, as well as two additional capabilities for business users. Turning insights into impact faster with Amazon Q in QuickSight With this announcement, business users can now generate compelling sharable stories examining their data, see executive summaries of dashboards surfacing key insights from data in seconds, and confidently answer questions of data not answered by dashboards and reports with a reimagined Q&A experience. Before we go deeper into each capability, here’s a quick summary: …

Today, we are announcing Amazon Q, a new generative artificial intelligence- (AI)-powered assistant designed for work that can be tailored to your business. You can use Amazon Q to have conversations, solve problems, generate content, gain insights, and take action by connecting to your company’s information repositories, code, data, and enterprise systems. Amazon Q provides immediate, relevant information and advice to employees to streamline tasks, accelerate decision-making and problem-solving, and help spark creativity and innovation at work. Amazon Q offers user-based plans, so you get features, pricing, and options tailored to how you use the product. Amazon Q can…

As our applications age, it takes more and more effort just to keep them secure and running smoothly. Developers managing the upgrades must spend time relearning the intricacies and nuances of breaking changes and performance optimizations others have already discovered in past upgrades. As a result, it’s difficult to balance the focus between new features and essential maintenance work. Today, we are introducing in preview Amazon Q Code Transformation. This new capability simplifies upgrading and modernizing existing application code using Amazon Q, a new type of assistant powered by generative artificial intelligence (AI). Amazon Q is specifically designed for work an…

Today, I’m excited to introduce the preview of new generative artificial intelligence (AI) capabilities within Amazon CodeCatalyst that accelerate software delivery using Amazon Q. Accelerate feature development – The feature development capability in Amazon Q can help you accelerate the implementation of software development tasks such as adding comments and READMEs, refining issue descriptions, generating small classes and unit tests, and updating CodeCatalyst workflows — tedious and undifferentiated tasks that take up developers’ time. Developers can go from an idea in an issue to fully tested, merge-ready, running code with only natural language inputs, in just a …

Today, we are announcing the preview of Amazon Q, a new type of generative artificial intelligence (AI) powered assistant that is specifically for work and can be tailored to a customer’s business. Amazon Q brings a set of capabilities to support developers and IT professionals. Now you can use Amazon Q to get started building applications on AWS, research best practices, resolve errors, and get assistance in coding new features for your applications. For example, Amazon Q Code Transformation can perform Java application upgrades now, from version 8 and 11 to version 17. Amazon Q is available in multiple areas of AWS to provide quick access to answers and ideas wherev…

Today, we are announcing Guardrails for Amazon Bedrock in preview that enables customers to implement safeguards across foundation models (FMs) based on their use cases and responsible AI policies. Customers can create multiple guardrails tailored to different use cases and apply them across multiple FMs, providing a consistent user experience and standardizing safety controls across generative AI applications. View the full article

As part of your responsible artificial intelligence (AI) strategy, you can now use Guardrails for Amazon Bedrock (preview) to promote safe interactions between users and your generative AI applications by implementing safeguards customized to your use cases and responsible AI policies. AWS is committed to developing generative AI in a responsible, people-centric way by focusing on education and science and helping developers to integrate responsible AI across the AI lifecycle. With Guardrails for Amazon Bedrock, you can consistently implement safeguards to deliver relevant and safe user experiences aligned with your company policies and principles. Guardrails help you d…

Amazon Bedrock is an easy way to build and scale generative AI applications with leading foundation models (FMs). Amazon Bedrock now supports fine-tuning for Meta Llama 2 and Cohere Command Light, along with Amazon Titan Text Lite and Amazon Titan Text Express FMs, so you can use labeled datasets to increase model accuracy for particular tasks. View the full article

Data analysis is a time-consuming activity. With ChatGPT, we can perform data summary, data preprocessing, data visualization, and many others in a short time.View the full article

Today we are announcing two new optimized integrations for AWS Step Functions with Amazon Bedrock. Step Functions is a visual workflow service that helps developers build distributed applications, automate processes, orchestrate microservices, and create data and machine learning (ML) pipelines. In September, we made available Amazon Bedrock, the easiest way to build and scale generative artificial intelligence (AI) applications with foundation models (FMs). Bedrock offers a choice of foundation models from leading providers like AI21 Labs, Anthropic, Cohere, Stability AI, and Amazon, along with a broad set of capabilities that customers need to build generative AI appl…

Data scientists love it! See how ChatGPT creates jaw-dropping data viz with just a few words - it's almost unfair how easy it is.View the full article

The Qualcomm AI Stack now supports ONNX RT and allows for hardware-accelerated AI in Windows on Snapdragon apps. Windows on Snapdragon is the next generation Windows platform, built on years of evolution in mobile compute.View the full article

Let’s discover whether AI is truly intelligent and has the potential to supersede humans.View the full article

Introduction The rise in popularity of Generative AI (GenAI) reflects a broader shift toward intelligent automation in the business landscape, which enables enterprises to innovate at an unprecedented scale, while adhering to dynamic market demands. While the promise of GenAI is exciting, the initial steps toward its adoption can be overwhelming. This post aims to demystify the complexities and offer guidance for getting started. Amazon SageMaker Jumpstart provides you a convenient option to start your GenAI journey on AWS. It offers foundation models such as Stable Diffusion, FLAN-T5, and LLaMa-2, which are pretrained on massive amounts of data. Foundation models can …

Upskilling through role-based pathways to accelerate your data + AI career Databricks has spent years crafting and iterating technical trainings for learners across... View the full article

Generative AI is an exciting and fast-moving area of research and application. Check out these 5 courses to get up to speed and stay ahead of the curve.View the full article

Dive into the insights of AI innovation with Microsoft's Senior Software Engineer, Manas Joshi: A journey of technology, triumph, and teachings for the next generation.View the full article

Generate content, ask questions and more in one place. Now at $39.97 through 11/28.View the full article

If you are ready to learn more about Generative AI while having fun and building cool stuff, check out PartyRock.aws . You can experiment, learn all about prompt engineering, build mini-apps, and share them with your friends — all without writing any code or creating an AWS account. You can also start with an app that has been shared with you and remix it to further enhance and customize it. Using PartyRock To get started, I visit https://partyrock.aws/ , click Sign in, and log in using my Apple, Amazon, or Google account: After authenticating, I am on the front page of PartyRock. I can review some sample apps, or I can click Build your own app to get started: …

Australia’s international standing in artificial intelligence research is one indicator of strong local expertise and potential in AI, according to the CSIRO, but community buy-in could hold the country back.View the full article

In alignment with President Biden's recent Executive Order emphasizing safe, secure, and trustworthy AI, we share our Trusted AI (TAI) lessons learned two years into the course of our US Federally funded TAI research projects.View the full article

Have our Sci-Fi dreams become reality?View the full article

I recently gained access to Anthropic's API, and I am impressed by how easy it is to use and faster than OpenAI API.View the full article

Time is the one thing developers can never get back. The author, discusses the value of low code/no code platforms backed by AI in promoting faster development times and increased business agility.View the full article

Generative AI's rapid progress necessitates urgent ethical safeguards against data, scale, accountability, copyright, and misinformation risks.View the full article

How much better is GPT-4 compared to previous models? Learn about cost and capabilities.View the full article

Extended reality, cloud computing, 5G and electric vehicles are also in the top five, according to the global survey of CIOs, CTOs and tech leaders.View the full article

Discover the truth behind popular AI myths and dive deep into the genuine capabilities and impact of Generative AI in today's world.View the full article

AI have ability to reason, and generate functioning code in languages like Python, SQL, and R, they can provide impressive value with Data analysis. But can they replace data analysts?View the full article

Atlassian added generative AI capabilities to Jira Service Management, an ITSM platform built on top of Jira. View the full article

This article gives a high-level overview of how LLMs work and their attendant limitations with accessible explanations and anecdotes throughout the piece. We also present advice on how people can introduce them into their workflows.View the full article

The predictive quality of a machine learning model is a direct reflection of the quality of data used to train and serve the... View the full article

Let’s take a closer look at Hybrid AI, how you can take advantage of it, and how Snapdragon brings hybrid AI to apps at the edge.View the full article

The article discusses the value of reliable data, democratizing access to valuable data insights, and consumer privacy’s impact on the competitive edge of big tech.View the full article

"I can't think of anything that's been more powerful since the desktop computer." — Michael Carbin, Associate Professor, MIT, and Founding Advisor, MosaicML A... View the full article

The article delves into a comprehensive methodology that sheds light on how to accurately estimate the carbon footprint associated with AI applications. It explains the environmental impact of AI, a crucial consideration in today's world.View the full article