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

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. These applications are a focus point for our generative AI efforts.

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AWS Machine Learning - AI

MAY 15, 2024

To help advertisers more seamlessly address this challenge, Amazon Ads rolled out an image generation capability that quickly and easily develops lifestyle imagery, which helps advertisers bring their brand stories to life. We end with lessons learned. This whole process starting from step 2 is orchestrated by AWS Step Functions.

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AWS Machine Learning - AI

FEBRUARY 6, 2024

Accenture built a regulatory document authoring solution using automated generative AI that enables researchers and testers to produce CTDs efficiently. By extracting key data from testing reports, the system uses Amazon SageMaker JumpStart and other AWS AI services to generate CTDs in the proper format.

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AWS Machine Learning - AI

NOVEMBER 30, 2023

We believe generative AI has the potential over time to transform virtually every customer experience we know. Innovative startups like Perplexity AI are going all in on AWS for generative AI. AWS innovates to offer the most advanced infrastructure for ML.

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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. Since then, Amazon Web Services (AWS) has introduced new services such as Amazon Bedrock.

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AWS Machine Learning - AI

JANUARY 26, 2024

Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications. This post provides three guided steps to architect risk management strategies while developing generative AI applications using LLMs.

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AWS Machine Learning - AI

JANUARY 24, 2024

Generative AI solutions have the potential to transform businesses by boosting productivity and improving customer experiences, and using large language models (LLMs) with these solutions has become increasingly popular. Where is the data processed? Who has access to the data?

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AWS Machine Learning - AI

APRIL 30, 2024

This outcome is achieved with a combination of AWS IAM Identity Center and Amazon Q Business. Many AWS enterprise customers use Organizations, and have IAM Identity Center organization instances associated with them.

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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. You can access Amazon Bedrock from the AWS Management Console and via API invocations. awscli>=1.29.57

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Cloudera

OCTOBER 31, 2023

However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey. Our vision is to make it easier, more economical, and safer for our customers to maximize the value they get from AI.

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AWS Machine Learning - AI

JANUARY 31, 2024

For Mendix, integrating the cutting-edge generative AI capabilities of Amazon Bedrock has been a game changer in redefining our customer experience landscape. In this post, we share how Mendix is revolutionizing customer experiences using Amazon Bedrock and generative AI. Amazon Bedrock offers many ready-to-use AI models.

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AWS Machine Learning - AI

DECEMBER 13, 2023

In this post, we showcase fine-tuning a Llama 2 model using a Parameter-Efficient Fine-Tuning (PEFT) method and deploy the fine-tuned model on AWS Inferentia2. We use the AWS Neuron software development kit (SDK) to access the AWS Inferentia2 device and benefit from its high performance.

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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). We describe how the solution and Amazon Bedrock consumption plans map to the general SaaS journey framework. The AWS CDK code is available in the GitHub repository.

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AWS Machine Learning - AI

APRIL 1, 2024

Machine learning (ML) research has proven that large language models (LLMs) trained with significantly large datasets result in better model quality. In the last few years, the size of current generation models has increased significantly, and they require modern tools and infrastructure to be trained efficiently and at scale.

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Perficient

DECEMBER 11, 2023

Now that the dust has settled, the team has had the chance to Re:flect on the events and announcements of AWS re:Invent 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.

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AWS Machine Learning - AI

MAY 30, 2024

In this blog, we walkthrough the architectural components, evaluation criteria for the components selected by Vitech and the process flow of user interaction within VitechIQ. Processing framework LangChain offered seamless machine learning (ML) model integration, allowing Vitech to build custom automated AI components and be model agnostic.

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Datavail

JUNE 22, 2023

This month, I had the opportunity to attend Amazon Web Services (AWS) Summit Toronto 2023 at the Metro Toronto Convention Center. The summit featured over 70 keynote presentations, breakout sessions, demos, and networking opportunities with AWS experts and partners. Here are some of the highlights that our team wanted to share!

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AWS Machine Learning - AI

MARCH 27, 2024

This blog post discusses how BMC Software added AWS Generative AI capabilities to its product BMC AMI zAdviser Enterprise. Using machine learning, AMI zAdviser monitors mainframe build, test and deploy functions across DevOps tool chains and then offers AI-led recommendations for continuous improvement.

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Cloudera

DECEMBER 20, 2023

That’s why we’re building an ecosystem of technology providers to make it easier, more economical, and safer for our customers to maximize the value they get from AI. At our recent Evolve Conference in New York we were extremely excited to announce our founding AI ecosystem partners: Amazon Web Services (“AWS“), NVIDIA, and Pinecone.

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AWS Machine Learning - AI

NOVEMBER 20, 2023

Retrieval Augmented Generation (RAG) allows you to provide a large language model (LLM) with access to data from external knowledge sources such as repositories, databases, and APIs without the need to fine-tune it. Use the deployed models in your question answering generative AI applications. embeddings.

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AWS Machine Learning - AI

APRIL 2, 2024

This blog post is co-written with Hwalsuk Lee at Upstage. SageMaker JumpStart is the machine learning (ML) hub of SageMaker that provides access to foundation models in addition to built-in algorithms to help you quickly get started with ML. This model requires an AWS Marketplace subscription.

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CIO

MAY 15, 2024

Generative AI (GenAI) has the potential to transform entire industries, especially in customer service and coding. Processing sensitive data outside of an LLM minimizes what’s being shared with AI. But it doesn’t mean that it can’t benefit from machine learning and other AI models that you are managing.

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AWS Machine Learning - AI

APRIL 11, 2024

We use the following key components: Embeddings – Embeddings are numerical representations of real-world objects that machine learning (ML) and AI systems use to understand complex knowledge domains like humans do. An Amazon S3 object notification event invokes the embedding AWS Lambda function.

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AWS Machine Learning - AI

MAY 1, 2024

Prerequisites First-time users need an AWS account and AWS Identity and Access Management (IAM) role with SageMaker, Amazon Bedrock, and Amazon Simple Storage Service (Amazon S3) access. modelName" --output text) model_id=$(aws bedrock list-custom-models --query "modelSummaries[0].modelArn" Confirm the purchase.

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AWS Machine Learning - AI

JANUARY 9, 2024

With the rapid adoption of generative AI applications, there is a need for these applications to respond in time to reduce the perceived latency with higher throughput. Large language models (LLMs) are a type of FM that generate text as a response of the user inference.

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Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

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Tenable

DECEMBER 22, 2023

Learn how the cyber world changed in areas including artificial intelligence, CNAPP, IAM security, government oversight and OT security. Here’s a small sampling of advice and recommendations issued in 2023: ISACA’s “ Considerations for Implementing a Generative Artificial Intelligence Policy ” McKinsey & Co.’s

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AWS Machine Learning - AI

DECEMBER 22, 2023

This blog is co-written with Josh Reini, Shayak Sen and Anupam Datta from TruEra Amazon SageMaker JumpStart provides a variety of pretrained foundation models such as Llama-2 and Mistal 7B that can be quickly deployed to an endpoint. Vivek Gangasani is a AI/ML Startup Solutions Architect for Generative AI startups at AWS.

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O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). Generative AI is the wild card: Will it help developers to manage complexity? It’s tempting to look at AI as a quick fix.

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Modus Create

DECEMBER 4, 2023

Date Engineering Group — We combine aspects of software engineering, data science, and machine learning to develop exceptional and reliable data processing and storage solutions. Examples include Micro Frontends and Generative AI. New groups arise frequently as we identify hot new technologies or design principles.

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Open Source Meeting Software Review Innovation 105

CIO

SEPTEMBER 21, 2023

Generative AI touches every aspect of the enterprise, and every aspect of society,” says Bret Greenstein, partner and leader of the gen AI go-to-market strategy at PricewaterhouseCoopers. In a recent report, he estimated that gen AI software revenues will grow from $3.7 So did Amazon on AWS.

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Mentormate

JUNE 26, 2023

Over the past several months, artificial intelligence (AI) has revealed its power and potential to the general public with the rise of generative AI tools like ChatGPT and Stable Diffusion. Writing poems and generating artwork have never been closer to what human creativity can come up with.

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