Artificial Intelligence (AI)
183 topics in this forum
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Want to prepare your tech career for 2024 and onwards? Have a look at O’Reilly’s FREE technology trends report.View the full article
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It’s more important than ever to think long-term about the analytics partnerships you forge. Are you choosing technologies that will stand the test of time? Are you choosing companies with proven track records? View the full article
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Discover the top AI coding assistants that can 10X your productivity overnight - #5 has the best autocomplete feature, and #1 is the most advanced code assistant tool ever seen!View the full article
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Intel offers a thrilling glimpse into the next generation of AI, showcasing the power of Camel-5b and Open LLaMA 3B LLMs.View the full article
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Want to learn more about AI and ChatGPT in 2024 for FREE? Keep reading.View the full article
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If you are new to generative AI or an expert who wants to learn more, O’Reilly offers a range of resources to kickstart your generative AI journey.View the full article
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Learn how to use OpenAI Python API for accessing language, embedding, audio, vision, and image generation models.View the full article
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Tune in to these 5 AI podcasts at the gym or on your commute to keep up to date with the world of AI.View the full article
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Announced by Werner Vogels in his 2023 re:Invent Keynote, Generative AI CDK Constructs, an open-source extension of the AWS Cloud Development Kit (AWS CDK), provides well-architected multi-service patterns to quickly and efficiently create repeatable infrastructure required for generative AI projects on AWS. Our initial release includes five CDK constructs enabling key generative AI capabilities like question and answering, summarization, data ingestion for Retrieval Augmented Generation (RAG), and model deployment capabilities. Simplify and Accelerate the Development of Applications with Generative AI Developing generative AI applications is particularly challenging d…
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Looking to make a career in data analytics? Take the first steps today with these free courses.View the full article
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Case study of LLM's ability to learn, generalize, and be creative.View the full article
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ChatGPT can be a great tool for data scientists. Here’s what I learned about where it excels and where it is less so.View the full article
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Innovative Solutions was founded in 1989 in Rochester, NY as an IT firm serving the technology needs of local businesses by installing computers, printers, and networks, and providing support. Over the decades, Innovative expanded its services to cover all of western New York while staying abreast of technological advances. However, by the late 2010s, the company could see it was time for a major shift. Pivoting to cloud “In 2018, we made a decision to go all-in on cloud, specifically Amazon Web Services,” says Travis Rehl, VP of Product and Service Delivery at Innovative. “It was a significant pivot point for the business, cloud computing was transforming our industry…
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Learn how AI can be used to design fair and efficient EV charging grids by optimizing their placement and pricing.View the full article
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Prompt engineering and generative AI are becoming hotter by the day. Be part of the heat!View the full article
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Developing a conversational AI chatbot requires substantial effort. However, understanding and addressing key challenges in natural language understanding can streamline the development process.View the full article
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Kickstart your AI journey this new year with 5 FREE learning resources from Microsoft.View the full article
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In this post, we will cover what a generative AI developer does, what tools you need to master, and how to get started.View the full article
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Imagine diving into the incredible world of artificial intelligence (AI), where anyone can become a generative AI builder. The journey begins with a curious mindset and an openness to the world of AI. That’s exactly what happened on my learning journey. My journey began with Amazon SageMaker Studio where the Amazon Sagemaker Studio for Data Scientists classroom course became my guide. Little did I know that this would mark the beginning of a transformative journey into the realm of AI. In this special learning space, I discovered the magic of building language models on AWS—a skill that felt like unlocking a secret door to AI mastery. This blog is your guide to transfor…
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The year of Generative AI - let’s go through what happened in the past 12 months.View the full article
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Today, AWS announces two methods to integrate Amazon Aurora PostgreSQL databases with Amazon Bedrock to power generative AI applications. First, Amazon Aurora ML now provides access to foundation models available through Amazon Bedrock directly through SQL. Second, Knowledge Bases for Amazon Bedrock now supports Amazon Aurora as a vector store for Retrieval Augmented Generation (RAG). View the full article
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You learned how to generate images using the base model, how to upgrade to the Stable Diffusion XL model to improve image quality, and how to use a custom model to generate high quality portraits.View the full article
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This article is a brief overview of the field of Emotion AI, and the potential applications of its technology in intimate roles.View the full article
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OpenAI revolutionizes personal AI customization with its no-code approach to creating custom ChatGPTs.View the full article
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Google has introduced a revamped AI model that is said to outperform ChatGPT. Let’s learn more.View the full article
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This article introduces and explains key terms important to generative AI, and links to additional resources to learn more.View the full article
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This article highlights the skills data scientists can learn to make the most use of the prowess of ChatGPT.View the full article
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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…
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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
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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…
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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
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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…
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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 …
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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
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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
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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…
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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…
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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
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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: …
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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…
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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…
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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 …
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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…
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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
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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…
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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
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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
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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…
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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
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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
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Let’s discover whether AI is truly intelligent and has the potential to supersede humans.View the full article
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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 …
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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
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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
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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: …
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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
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Have our Sci-Fi dreams become reality?View the full article
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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
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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
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Generative AI's rapid progress necessitates urgent ethical safeguards against data, scale, accountability, copyright, and misinformation risks.View the full article
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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
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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
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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
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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
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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
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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
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Follow these simple steps to multiply your income with generative AI.View the full article
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What should we expect in the next 3 years due to the generative AI boom?View the full article
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Large language models (LLMs) are transforming the way we process and produce information. But, before considering either one of these models as a one-stop-solution, one must consider their key differences.View the full article
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Dive into how OpenAI’s new image generator DALL·E 3 is pushing limits, and see how it's making image generation much more accessible.View the full article
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Due to unsustainable hype, unrealistic valuations, limitations of current technology, and unproven business models.View the full article
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This article has outlined how you can fine tune your GPT 3.5 Turbo models. You can do this by preparing your data, uploading your files, and then setting up a custom OpenAI session to handle the fine tuning.View the full article
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BIG DATA & AI TORONTO is back this October 18-19 2023 at the Metro Toronto Convention Centre. Get your free pass now!View the full article
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In this article, Luis shares with readers his thoughts on the intersection of open source software and machine learning and what the future might bring. Many articles cover how open source software is used by the machine learning community but this post focuses on the similarities between the two areas of practice and what machine learning can and can’t learn from open source software.View the full article
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This article provides an overview of the strategies for optimizing AI system performance in edge AI deployments.View the full article
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Learn how to design & deploy responsible AI systems with this white paper from Teradata.View the full article
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Minimize your time to develop the design you need.View the full article
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This April, we announced Amazon Bedrock as part of a set of new tools for building with generative AI on AWS. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, including AI21 Labs, Anthropic, Cohere, Stability AI, and Amazon, along with a broad set of capabilities to build generative AI applications, simplifying the development while maintaining privacy and security. Today, I’m happy to announce that Amazon Bedrock is now generally available! I’m also excited to share that Meta’s Llama 2 13B and 70B parameter models will soon be available on Amazon Bedrock. Amazon Bedrock’s comprehen…
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Stable Diffusion is a state-of-the-art text-to-image model that generates images from text. Deploying text-to-image models such as Stable Diffusion can be difficult. Currently, Stable Diffusion requires specific computer hardware known as graphical processing units (GPUs). You can lower the bar to entry by offloading the text-to-image generation onto Amazon Web Services (AWS). Discord is a popular voice, video, and text communication service. It provides a user interface that people can use to make text-to-image requests. When deployed, all members of a Discord server can create images by using Discord Slash Commands. In this post, we discuss how to deploy a highly av…
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Starting today, Amazon SageMaker JumpStart provides two additional state-of-the-art foundational models, Bloom for text generation and Stable Diffusion for image generation. Customers can access newly added models through the SageMaker Python SDK APIs and SageMaker JumpStart UI inside SageMaker Studio. View the full article
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When you have a degree in artificial intelligence (AI) and robotics, and a job with a company in that field, what more is there to learn? Dipayan Das believes the opportunity to learn is never over. Before finding a role that allowed him to focus on his original passion—AI—he experienced success as a big data developer. After nearly five years of demonstrating his prowess with data lakes and other large-scale data solutions, Dipayan decided it was time to get back to his AI roots and started searching for opportunities. He joined Price Waterhouse Cooper (PwC) in his native India as a technical consultant before bringing his expertise to the company’s San Jose, California …
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When you have a degree in artificial intelligence (AI) and robotics, and a job with a company in that field, what more is there to learn? Dipayan Das believes the opportunity to learn is never over. Before finding a role that allowed him to focus on his original passion—AI—he experienced success as a big data developer. After nearly five years of demonstrating his prowess with data lakes and other large-scale data solutions, Dipayan decided it was time to get back to his AI roots and started searching for opportunities. He joined Price Waterhouse Cooper (PwC) in his native India as a technical consultant before bringing his expertise to the company’s San Jose, California …
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Starting today, Amazon Augmented AI (Amazon A2I) is a HIPAA eligible service. Amazon Augmented AI makes it easy to build the workflows required for human review of ML predictions. HIPPA eligibility applies to AWS Regions where the service is available and means you can use Amazon A2I to help you add human review of Protected Health Information (PHI) to power your healthcare workflows through your private workforce. View the full article
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