AWS Machine Learning Blog

NOVEMBER 15, 2024

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. Principal also used the AWS open source repository Lex Web UI to build a frontend chat interface with Principal branding.

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AWS Machine Learning Blog

MAY 1, 2024

Large language models (LLMs) are making a significant impact in the realm of artificial intelligence (AI). Llama2 by Meta is an example of an LLM offered by AWS. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English.

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IBM Journey to AI blog

SEPTEMBER 19, 2024

Eight client teams collaborated with IBM® and AWS this spring to develop generative AI prototypes to address real-world business challenges in the public sector, financial services, energy, healthcare and other industries. The upfront enablement helped teams understand AWS technologies, then put that understanding into practice.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Yes, the AWS re:Invent season is upon us and as always, the place to be is Las Vegas! are the sessions dedicated to AWS DeepRacer ! Generative AI is at the heart of the AWS Village this year. You marked your calendars, you booked your hotel, and you even purchased the airfare. And last but not least (and always fun!)

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AWS Machine Learning Blog

JUNE 26, 2024

Artificial intelligence and machine learning (AI/ML) technologies can assist capital market organizations overcome these challenges. Intelligent document processing (IDP) applies AI/ML techniques to automate data extraction from documents. The task can then be passed on to humans to complete a final sort.

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AWS Machine Learning Blog

OCTOBER 5, 2023

In this post, we walk through how to fine-tune Llama 2 on AWS Trainium , a purpose-built accelerator for LLM training, to reduce training times and costs. We review the fine-tuning scripts provided by the AWS Neuron SDK (using NeMo Megatron-LM), the various configurations we used, and the throughput results we saw.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). AWS AI and machine learning (ML) services help address these concerns within the industry. In this post, we share how legal tech professionals can build solutions for different use cases with generative AI on AWS.

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AWS Machine Learning Blog

NOVEMBER 27, 2023

Amazon Elastic Compute Cloud (Amazon EC2) accelerated computing portfolio offers the broadest choice of accelerators to power your artificial intelligence (AI), machine learning (ML), graphics, and high performance computing (HPC) workloads. times larger and 1.4 times faster than H100 GPUs.

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AWS Machine Learning Blog

MARCH 22, 2024

The AI Content Generator powered by Amazon Bedrock is an app available on the Contentful Marketplace that allows users to create, rewrite, summarize, and translate content using cutting-edge generative artificial intelligence (AI) models available and accessible through Amazon Bedrock in a simple and secure manner.

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AWS Machine Learning Blog

OCTOBER 31, 2024

Previously, setting up a custom labeling job required specifying two AWS Lambda functions: a pre-annotation function, which is run on each dataset object before it’s sent to workers, and a post-annotation function, which is run on the annotations of each dataset object and consolidates multiple worker annotations if needed.

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AWS Machine Learning Blog

MAY 31, 2024

Genomic language models are a new and exciting field in the application of large language models to challenges in genomics. In this blog post and open source project , we show you how you can pre-train a genomics language model, HyenaDNA , using your genomic data in the AWS Cloud.

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AWS Machine Learning Blog

JUNE 23, 2023

Additionally, you can use AWS Lambda directly to expose your models and deploy your ML applications using your preferred open-source framework, which can prove to be more flexible and cost-effective. We also show you how to automate the deployment using the AWS Cloud Development Kit (AWS CDK). The artifacts are all in place.

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AWS Machine Learning Blog

NOVEMBER 15, 2023

They are processing data across channels, including recorded contact center interactions, emails, chat and other digital channels. Solution requirements Principal provides investment services through Genesys Cloud CX, a cloud-based contact center that provides powerful, native integrations with AWS.

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AWS Machine Learning Blog

MAY 4, 2023

The world of artificial intelligence (AI) and machine learning (ML) has been witnessing a paradigm shift with the rise of generative AI models that can create human-like text, images, code, and audio. ml.Inf2 instances are powered by the AWS Inferentia2 accelerator , a purpose built accelerator for inference.

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AWS Machine Learning Blog

NOVEMBER 25, 2024

John Snow Labs’ Medical Language Models is by far the most widely used natural language processing (NLP) library by practitioners in the healthcare space (Gradient Flow, The NLP Industry Survey 2022 and the Generative AI in Healthcare Survey 2024 ). You will be redirected to the listing on AWS Marketplace.

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AWS Machine Learning Blog

JUNE 13, 2023

The size of the machine learning (ML) models––large language models ( LLMs ) and foundation models ( FMs )–– is growing fast year-over-year , and these models need faster and more powerful accelerators, especially for generative AI. With AWS Inferentia1, customers saw up to 2.3x With AWS Inferentia1, customers saw up to 2.3x

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AWS Machine Learning Blog

APRIL 25, 2024

The transformative power of advanced summarization capabilities will only continue growing as more industries adopt artificial intelligence (AI) to harness overflowing information streams. To learn more about FMEval in AWS and how to use it effectively, refer to Use SageMaker Clarify to evaluate large language models.

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AWS Machine Learning Blog

APRIL 7, 2023

Retailers can deliver more frictionless experiences on the go with natural language processing (NLP), real-time recommendation systems, and fraud detection. In this post, we demonstrate how to deploy a SageMaker model to AWS Wavelength to reduce model inference latency for 5G network-based applications.

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Flipboard

NOVEMBER 17, 2023

This type of data is often used in ML and artificial intelligence applications. Specify the AWS Lambda function that will interact with MongoDB Atlas and the LLM to provide responses. As always, AWS welcomes feedback. Vector data is a type of data that represents a point in a high-dimensional space.

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AWS Machine Learning Blog

JUNE 18, 2024

Some examples include extracting players and positions in an NFL game summary, products mentioned in an AWS keynote transcript, or key names from an article on a favorite tech company. This process must be repeated for every new document and entity type, making it impractical for processing large volumes of documents at scale.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

Implementing a multi-modal agent with AWS consolidates key insights from diverse structured and unstructured data on a large scale. All this is achieved using AWS services, thereby increasing the financial analyst’s efficiency to analyze multi-modal financial data (text, speech, and tabular data) holistically.

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AWS Machine Learning Blog

APRIL 23, 2024

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud.

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AWS Machine Learning Blog

OCTOBER 19, 2023

Content moderation in Amazon Rekognition Amazon Rekognition is a managed artificial intelligence (AI) service that offers pre-trained and customizable computer vision capabilities to extract information and insights from images and videos. Learn more about content moderation on AWS.

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AWS Machine Learning Blog

JANUARY 13, 2023

FL doesn’t require moving or sharing data across sites or with a centralized server during the model training process. In this two-part series, we demonstrate how you can deploy a cloud-based FL framework on AWS. Participants can either choose to maintain their data in their on-premises systems or in an AWS account that they control.

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AWS Machine Learning Blog

JUNE 25, 2024

Businesses can use LLMs to gain valuable insights, streamline processes, and deliver enhanced customer experiences. In the first step, an AWS Lambda function reads and validates the file, and extracts the raw data. The raw data is processed by an LLM using a preconfigured user prompt. The Step Functions workflow starts.

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AWS Machine Learning Blog

JUNE 12, 2024

In this post, we discuss an approach that uses the Anthropic Claude 3 Haiku model on Amazon Bedrock to enhance document processing capabilities. At the heart of this solution lies the Anthropic Claude 3 Haiku model, the fastest and most affordable model in its intelligence class. For instructions to request access, see Model access.

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Flipboard

NOVEMBER 20, 2023

We use two AWS Media & Entertainment Blog posts as the sample external data, which we convert into embeddings with the BAAI/bge-small-en-v1.5 Prerequisites To follow the steps in this post, you need to have an AWS account and an AWS Identity and Access Management (IAM) role with permissions to create and access the solution resources.

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AWS Machine Learning Blog

JUNE 6, 2023

PyTorch is a machine learning (ML) framework that is widely used by AWS customers for a variety of applications, such as computer vision, natural language processing, content creation, and more. release, AWS customers can now do same things as they could with PyTorch 1.x 24xlarge with AWS PyTorch 2.0

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AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in AWS involves a series of trade-offs between resources, time, customer expectation, and business outcome. The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS.

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AWS Machine Learning Blog

OCTOBER 21, 2024

However, customers who want to deploy LLMs in their own self-managed workflows for greater control and flexibility of underlying resources can use these LLMs optimized on top of AWS Inferentia2-powered Amazon Elastic Compute Cloud (Amazon EC2) Inf2 instances. model, but the same process can be followed for the Mistral-7B-instruct-v0.3

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Pickl AI

JULY 12, 2024

Summary: This guide explores Artificial Intelligence Using Python, from essential libraries like NumPy and Pandas to advanced techniques in machine learning and deep learning. It equips you to build and deploy intelligent systems confidently and efficiently.

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AWS Machine Learning Blog

JUNE 21, 2024

To accomplish this, eSentire built AI Investigator, a natural language query tool for their customers to access security platform data by using AWS generative artificial intelligence (AI) capabilities. This system uses AWS Lambda and Amazon DynamoDB to orchestrate a series of LLM invocations.

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AWS Machine Learning Blog

SEPTEMBER 27, 2023

Working with the top 60+ US healthcare networks, MDaudit needs to be able to scale its artificial intelligence (AI) capabilities to improve end-user productivity to meet growing demand and adapt to the changing healthcare landscape. This prompts an AWS Lambda function to initiate Amazon Textract.

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Data Science Dojo

SEPTEMBER 30, 2024

AI code generation is the process where artificial intelligence translates human instructions—often in plain language—into functional code. AI code generation works through a combination of machine learning, natural language processing (NLP), and large language models ( LLMs ).

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AWS Machine Learning Blog

MAY 31, 2024

What is the Falcon 2 11B model Falcon 2 11B is the first FM released by TII under their new artificial intelligence (AI) model series Falcon 2. It’s a next generation model in the Falcon family—a more efficient and accessible large language model (LLM) that is trained on a 5.5 Armando Diaz is a Solutions Architect at AWS.

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AWS Machine Learning Blog

MARCH 28, 2024

For more information on Mixtral-8x7B Instruct on AWS, refer to Mixtral-8x7B is now available in Amazon SageMaker JumpStart. Before you get started with the solution, create an AWS account. This identity is called the AWS account root user. The Mixtral-8x7B model is made available under the permissive Apache 2.0

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AWS Machine Learning Blog

JULY 1, 2024

Generative artificial intelligence (AI)-powered chatbots play a crucial role in delivering human-like interactions by providing responses from a knowledge base without the involvement of live agents. Use the provided AWS CloudFormation template in your preferred AWS Region and configure the bot.

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