Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. These languages are used for data manipulation, analysis, and building machine learning models.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Large language models (LLMs) are revolutionizing fields like search engines, natural language processing (NLP), healthcare, robotics, and code generation. One such component is a feature store, a tool that stores, shares, and manages features for machine learning (ML) models.

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AWS Machine Learning Blog

DECEMBER 13, 2023

Machine learning (ML) models do not operate in isolation. AWS CodeStar connection – We use AWS CodeStar to establish a link with the GitHub repository and utilize it as code repo integration with AWS resources, like SageMaker Studio. An AWS account. Alternatively, use AWS CloudShell.

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AWS Machine Learning Blog

FEBRUARY 14, 2023

Amazon Kendra is an intelligent search service powered by machine learning (ML). It indexes the documents stored in a wide range of repositories and finds the most relevant document based on the keywords or natural language questions the user has searched for.

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AWS Machine Learning Blog

APRIL 27, 2023

Solution overview With the onset of large language models, the field has seen tremendous progress on various natural language processing (NLP) benchmarks. About the Authors Erran Li is the applied science manager at humain-in-the-loop services, AWS AI, Amazon. He is an ACM Fellow and IEEE Fellow.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

These demos can be seamlessly deployed in your AWS account, offering foundational insights and guidance on utilizing AWS services to create a state-of-the-art LLM generative AI question and answer bot and content generation. Prerequisites You must have the following prerequisites: An AWS account. Python 3.6 x or later.

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Dataconomy

MARCH 13, 2023

With advances in machine learning, deep learning, and natural language processing, the possibilities of what we can create with AI are limitless. However, the process of creating AI can seem daunting to those who are unfamiliar with the technicalities involved. Now let’s delve into the details.

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AWS Machine Learning Blog

MAY 21, 2024

Retrieval Augmented Generation (RAG) models have emerged as a promising approach to enhance the capabilities of language models by incorporating external knowledge from large text corpora. These embeddings represent textual and visual data in a numerical format, which is essential for various natural language processing (NLP) tasks.

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AWS Machine Learning Blog

AUGUST 14, 2023

SageMaker JumpStart also provides solution templates that set up infrastructure for common use cases, and executable example notebooks for machine learning (ML) with SageMaker. Amazon OpenSearch OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch in the AWS Cloud.

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AWS Machine Learning Blog

FEBRUARY 6, 2023

Contact centers are using artificial intelligence (AI) and natural language processing (NLP) technologies to build a personalized customer experience and deliver effective self-service support through conversational bots. The connector was built by using the Amazon Lex Model Building API with the AWS SDK for Java 2.x.

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AWS Machine Learning Blog

MAY 31, 2024

trillion token dataset and supports multiple languages. The Falcon 2 11B model is available on SageMaker JumpStart, a machine learning (ML) hub that provides access to built-in algorithms, FMs, and pre-built ML solutions that you can deploy quickly and get started with ML faster. Armando Diaz is a Solutions Architect at AWS.

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AWS Machine Learning Blog

MAY 1, 2024

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. Virginia) and US West (Oregon) AWS Regions, and most recently announced general availability in the US East (Ohio) Region.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

The IDP Well-Architected Custom Lens is intended for all AWS customers who use AWS to run intelligent document processing (IDP) solutions and are searching for guidance on how to build a secure, efficient, and reliable IDP solution on AWS.

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AWS Machine Learning Blog

JANUARY 13, 2023

To mitigate these challenges, we propose using an open-source federated learning (FL) framework called FedML , which enables you to analyze sensitive HCLS data by training a global machine learning model from distributed data held locally at different sites. In the first post, we described FL concepts and the FedML framework.

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AWS Machine Learning Blog

MARCH 28, 2024

It provides a collection of pre-trained models that you can deploy quickly and with ease, accelerating the development and deployment of machine learning (ML) applications. For more information on Mixtral-8x7B Instruct on AWS, refer to Mixtral-8x7B is now available in Amazon SageMaker JumpStart.

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AWS Machine Learning Blog

OCTOBER 6, 2023

Background of multimodality models Machine learning (ML) models have achieved significant advancements in fields like natural language processing (NLP) and computer vision, where models can exhibit human-like performance in analyzing and generating content from a single source of data.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

The AWS Well-Architected Framework helps you understand the benefits and risks of decisions you make while building workloads on AWS. The IDP Well-Architected Custom Lens outlines the steps for performing an AWS Well-Architected review, and helps you assess and identify the risks in your IDP workloads.

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AWS Machine Learning Blog

SEPTEMBER 1, 2023

In terms of security, both the input and output are secured using TLS using AWS Sigv4 Auth. In this post, we showcase two container options to create a SageMaker endpoint with response streaming: using an AWS Large Model Inference (LMI) and Hugging Face Text Generation Inference (TGI) container.

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AWS Machine Learning Blog

SEPTEMBER 5, 2023

To address these challenges, content moderation powered by machine learning (ML) has emerged as a solution. One of the popular multi-modality models is the visual-language models such as BLIP-2, which combines computer vision and natural language processing (NLP) to understand and generate both visual and textual information.

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AWS Machine Learning Blog

JUNE 1, 2023

SageMaker is a fully managed service that provides every developer and data scientist with the ability to prepare, build, train, and deploy machine learning (ML) models quickly. Deploy the trained ByteTrack model with different deployment options depending on your use case: real-time processing, asynchronous, or batch prediction.

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AWS Machine Learning Blog

NOVEMBER 9, 2023

In these two studies, commissioned by AWS, developers were asked to create a medical software application in Java that required use of their internal libraries. About the authors Qing Sun is a Senior Applied Scientist in AWS AI Labs and work on AWS CodeWhisperer, a generative AI-powered coding assistant.

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AWS Machine Learning Blog

MAY 7, 2024

SageMaker JumpStart is a machine learning (ML) hub with foundation models (FMs), built-in algorithms, and prebuilt ML solutions that you can deploy with just a few clicks. Prompt engineering relies on large pretrained language models that have been trained on massive amounts of text data.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

In today’s highly competitive market, performing data analytics using machine learning (ML) models has become a necessity for organizations. AWS provides the most complete set of services for the entire end-to-end data journey for all workloads, all types of data, and all desired business outcomes.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

Through a collaboration between the Next Gen Stats team and the Amazon ML Solutions Lab , we have developed the machine learning (ML)-powered stat of coverage classification that accurately identifies the defense coverage scheme based on the player tracking data. Advances in neural information processing systems 32 (2019).

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AWS Machine Learning Blog

AUGUST 16, 2023

MLOps is a key discipline that often oversees the path to productionizing machine learning (ML) models. It’s natural to focus on a single model that you want to train and deploy. However, in reality, you’ll likely work with dozens or even hundreds of models, and the process may involve multiple complex steps.

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AWS Machine Learning Blog

JANUARY 20, 2023

In this post, we discuss how CCC Intelligent Solutions (CCC) combined Amazon SageMaker with other AWS services to create a custom solution capable of hosting the types of complex artificial intelligence (AI) models envisioned. The challenge CCC processes more than $1 trillion claims transactions annually.

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AWS Machine Learning Blog

SEPTEMBER 6, 2023

The Llama 2 family of large language models (LLMs) is a collection of pre-trained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. The model is deployed in an AWS secure environment and under your VPC controls, helping ensure data security.

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AWS Machine Learning Blog

MAY 24, 2023

Natural language processing (NLP) is one of the recent developments in IDP that has improved accuracy and user experience. You can efficiently deploy the pre-trained J2-jumbo-instruct, or other Jurassic-2 models available on AWS Marketplace, into your own own virtual private cloud (VPC) using Amazon SageMaker.

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AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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AWS Machine Learning Blog

APRIL 18, 2023

Large language models (LLMs) with billions of parameters are currently at the forefront of natural language processing (NLP). These models are shaking up the field with their incredible abilities to generate text, analyze sentiment, translate languages, and much more.

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AWS Machine Learning Blog

SEPTEMBER 21, 2023

In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab , build an active learning framework on AWS to automate the processing of passenger documents. “In As part of this strategy, they developed an in-house passport analysis model to verify passenger IDs.

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AWS Machine Learning Blog

SEPTEMBER 12, 2023

By implementing a modern natural language processing (NLP) model, the response process has been shaped much more efficiently, and waiting time for clients has been reduced tremendously. To facilitate our ML lifecycle process, we decided to adopt SageMaker to build, deploy, serve, and monitor our models.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. He is also a professor emeritus of computer science at Stanford University, where he taught and researched since 1987.

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Snorkel AI

MAY 24, 2023

The Future of Data-centric AI virtual conference will bring together a star-studded lineup of expert speakers from across the machine learning, artificial intelligence, and data science field. He is also a professor emeritus of computer science at Stanford University, where he taught and researched since 1987.

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AWS Machine Learning Blog

AUGUST 7, 2023

In an effort to create and maintain a socially responsible gaming environment, AWS Professional Services was asked to build a mechanism that detects inappropriate language (toxic speech) within online gaming player interactions. The solution lay in what’s known as transfer learning.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

Many of our customers have reported strong satisfaction with ThirdAI’s ability to train and deploy deep learning models for critical business problems on cost-effective CPU infrastructure. Instance types For our evaluation, we considered two comparable AWS CPU instances: a c6i.8xlarge 8xlarge powered by AWS Graviton3.

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AWS Machine Learning Blog

NOVEMBER 1, 2023

Utilizing the latest Hugging Face LLM modules on Amazon SageMaker, AWS customers can now tap into the power of SageMaker deep learning containers (DLCs). About the authors Alfred Shen is a Senior AI/ML Specialist at AWS. Dr. Changsha Ma is an AI/ML Specialist at AWS.

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