AWS Machine Learning - AI

MAY 14, 2024

Recent advances in artificial intelligence have led to the emergence of generative AI that can produce human-like novel content such as images, text, and audio. These models are pre-trained on massive datasets and, to sometimes fine-tuned with smaller sets of more task specific data.

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Palo Alto Networks

MAY 22, 2024

{{interview_audio_title}} 00:00 00:00 Volume Slider 10s 10s 10s 10s Seek Slider “AI’s Impact in Cybersecurity” is a blog series based on interviews with a variety of experts at Palo Alto Networks and Unit 42, with roles in AI research, product management, consulting, engineering and more. Curious to Learn More?

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AWS Machine Learning - AI

MARCH 7, 2024

This can take a lot of effort, especially for large batches of images. Amazon Bedrock offers the generative AI foundation model Amazon Titan Image Generator G1 , which can automatically change the background of an image using a technique called outpainting.

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AWS Machine Learning - AI

MAY 9, 2024

The company is committed to ethical and responsible AI development, with human oversight and transparency. Verisk is using generative artificial intelligence (AI) to enhance operational efficiencies and profitability for insurance clients while adhering to its ethical AI principles.

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Datavail

JUNE 22, 2023

The trends and topics at this event included data analytics, sustainability, application modernization, cloud migration and modernization, AI and machine learning, and operational excellence. Discover technologies like machine learning and serverless computing to gain valuable insights into revolutionizing your industry.

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AWS Machine Learning - AI

MAY 17, 2024

Generative AI is a type of artificial intelligence (AI) that can be used to create new content, including conversations, stories, images, videos, and music. Like all AI, generative AI works by using machine learning models—very large models that are pretrained on vast amounts of data called foundation models (FMs).

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AWS Machine Learning - AI

MAY 13, 2024

In part 1 of this blog series, we discussed how a large language model (LLM) available on Amazon SageMaker JumpStart can be fine-tuned for the task of radiology report impression generation. It’s serverless, so you don’t have to manage any infrastructure. It is time-consuming but, at the same time, critical.

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AWS Machine Learning - AI

NOVEMBER 22, 2023

The financial service (FinServ) industry has unique generative AI requirements related to domain-specific data, data security, regulatory controls, and industry compliance standards. RAG is a framework for improving the quality of text generation by combining an LLM with an information retrieval (IR) system.

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AWS Machine Learning - AI

MARCH 15, 2024

Fortunately, with the advent of generative AI and large language models (LLMs) , it’s now possible to create automated systems that can handle natural language efficiently, and with an accelerated on-ramping timeline. The order summary is communicated back to the customer via Amazon Lex.

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TechCrunch

OCTOBER 5, 2021

Gaudium.AI : Generative AI for helping your social media team come up with new posts, generating unique copy within your specifications. Direktiv : It’s honestly a bit over my head, but Direktiv pitches itself as a platform-agnostic “event-driven serverless orchestration engine” in the cloud.

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AWS Machine Learning - AI

FEBRUARY 14, 2024

With the advent of generative AI solutions, organizations are finding different ways to apply these technologies to gain edge over their competitors. Amazon Bedrock offers a choice of high-performing foundation models from leading AI companies, including AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon, via a single API.

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AWS Machine Learning - AI

MARCH 28, 2024

These generative AI applications are not only used to automate existing business processes, but also have the ability to transform the experience for customers using these applications.

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AWS Machine Learning - AI

FEBRUARY 19, 2024

Chatbots use the advanced natural language capabilities of large language models (LLMs) to respond to customer questions. They can understand conversational language and respond naturally. It augments prompts with these relevant chunks to generate an answer using the LLM.

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AWS Machine Learning - AI

MAY 21, 2024

For several years, we have been actively using machine learning and artificial intelligence (AI) to improve our digital publishing workflow and to deliver a relevant and personalized experience to our readers. Storm serves as the front end for Nova, our serverless content management system (CMS).

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AWS Machine Learning - AI

MARCH 14, 2024

Generative AI applications driven by foundational models (FMs) are enabling organizations with significant business value in customer experience, productivity, process optimization, and innovations. In this post, we explore different approaches you can take when building applications that use generative AI.

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AWS Machine Learning - AI

JANUARY 4, 2024

Generative AI has opened up a lot of potential in the field of AI. We are seeing numerous uses, including text generation, code generation, summarization, translation, chatbots, and more. These LLMs can be leveraged to understand the natural language question and generate a corresponding SQL query as an output.

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Cloudera

OCTOBER 31, 2023

Our vision is to make it easier, more economical, and safer for our customers to maximize the value they get from AI. In this post, we share our vision and the integrations that are available to our customers on Cloudera Data Platform with generative AI on AWS.

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Cloudera

DECEMBER 20, 2023

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. In a stack including Cloudera Data Platform the applications and underlying models can also be deployed from the data management platform via Cloudera Machine Learning.

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AWS Machine Learning - AI

FEBRUARY 28, 2024

Structured Query Language (SQL) is a complex language that requires an understanding of databases and metadata. Today, generative AI can enable people without SQL knowledge. The solution in this post aims to bring enterprise analytics operations to the next level by shortening the path to your data using natural language.

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AWS Machine Learning - AI

APRIL 23, 2024

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. However, to unlock the long-term success and viability of these AI-powered solutions, it is crucial to align them with well-established architectural principles.

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Linux Academy

DECEMBER 2, 2019

Last year we saw huge announcements in Machine Learning and Artificial Intelligence, a push into space with AWS Ground Station and the usual list of service enhancements and upgrades that we come to expect from the universes largest cloud vendor. Machine Learning, Machine Learning, Machine Learning.

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AWS Machine Learning - AI

NOVEMBER 24, 2023

This is where Amazon Bedrock with its generative AI capabilities steps in to reshape the game. In this post, we dive into how Amazon Bedrock is transforming the product description generation process, empowering e-retailers to efficiently scale their businesses while conserving valuable time and resources.

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AWS Machine Learning - AI

MAY 1, 2024

Imagine harnessing the power of advanced language models to understand and respond to your customers’ inquiries. Amazon Bedrock , a fully managed service providing access to such models, makes this possible. However, this post focuses on the Amazon Titan Text G1-Express LLM. Choose New model.

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Dzone - DevOps

NOVEMBER 3, 2023

But text-to-image conversion typically involves deploying an end-to-end machine learning solution, which is quite resource-intensive. What if this capability was an API call away, thereby making the process simpler and more accessible for developers?

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AWS Machine Learning - AI

FEBRUARY 9, 2024

Enterprises are seeking to quickly unlock the potential of generative AI by providing access to foundation models (FMs) to different lines of business (LOBs). For more information, refer to Building a Multi-Tenant SaaS Solution Using AWS Serverless Services. The following is a reference architecture diagram.

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Prisma Clud

DECEMBER 5, 2023

The rise of AI, machine learning and surging interest in generative AI have increased the volume of data that organizations store in the cloud, creating new risk vectors related to the models themselves. Multiple market forces have brought us to this moment.

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Honeycomb

MAY 3, 2023

Here are some examples: P99 and distribution of latency Distribution of serverless spend by route For example, if I say “P99 and distribution of latency by endpoint,” I get this query: By default, Query Assistant will generate a heatmap when applicable. When using generative AI, use language that is affirmative.

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AWS Machine Learning - AI

FEBRUARY 8, 2024

Generative AI agents are a versatile and powerful tool for large enterprises. These agents excel at automating a wide range of routine and repetitive tasks, such as data entry, customer support inquiries, and content generation. An Amazon OpenSearch Serverless collection will be created for you. Blocksom is a Sr.

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Agile Engine

JANUARY 17, 2024

Table of contents Introduction Large language models (LLMs) in a nutshell Rapid application development (RAD) using LLMs The problem Step 1. Send it to Vertex AI/text-bison Step 5. However, effectively integrating LLMs into the software development process can be challenging. Test a little Step 3.

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Sunflower Lab

FEBRUARY 1, 2024

To manage vector embeddings and facilitate effective vector search, vector databases are AI-native. The ability of machines to read and understand information in a digital form—a requirement for machine learning and artificial intelligence makes vector embeddings significant. Why are Embeddings Crucial?

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Perficient

DECEMBER 11, 2023

Dominating the conversation was the advancement and capabilities of Generative AI across several AWS Services, while not losing sight on the importance of application modernization and cloud migration. Amazon Redshift Serverless: Gather insights in seconds without having to manage data warehouse infrastructure.

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AWS Machine Learning - AI

NOVEMBER 30, 2023

Machine learning techniques can help you discover such images. “ The previous post discussed how you can use Amazon machine learning (ML) services to help you find the best images to be placed along an article or TV synopsis without typing in keywords. Make sure that you’re using latest version of AWS SAM CLI.

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Honeycomb

FEBRUARY 16, 2024

The future of APM Advances from APM into wider observability are driven by applications moving to the cloud and becoming more fine-grained (from microservices to serverless), and the need for developers to support (and therefore understand) more and more software. Meanwhile, advances in automation and machine learning affect APM.

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O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence.

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O'Reilly Media - Ideas

JUNE 8, 2020

Given the number of research papers that have been generated, AI-based search and summarization may be the only way to stay current. The New Stack is talking about Serverless Cloud mashups. Machine Learning and AI. And that we’re asking the wrong questions, particularly for language models.

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CIO

MARCH 6, 2023

Shutterstock’s current focus, for instance, is generative AI — considered by many to be a bleeding-edge application. For Shutterstock, the benefits of AI have been immediately apparent. Storage intelligence, for example, has reduced the duplication of images, an issue that occurs after acquisitions.

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