ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

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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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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. About the Authors Yanwei Cui , PhD, is a Senior Machine Learning Specialist Solutions Architect at AWS. Gordon Wang is a Senior AI/ML Specialist TAM at AWS.

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AWS Machine Learning Blog

SEPTEMBER 22, 2023

For more information, refer to the AWS Sagemaker Developer Guide’s documentation on “ Clean Up ”. About the Authors Weifeng Chen is an Applied Scientist in the AWS Human-in-the-loop science team. Erran Li is the applied science manager at humain-in-the-loop services, AWS AI, Amazon.

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Mlearning.ai

MAY 23, 2023

Check out this course to build your skillset in Seaborn —  [link] Big Data Technologies Familiarity with big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks is becoming increasingly important as the volume and complexity of data continue to grow. in these fields.

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon OpenSearch OpenSearch Service is a fully managed service that makes it simple to deploy, scale, and operate OpenSearch in the AWS Cloud. Prerequisites The first thing to do before we can use any AWS services is to make sure we have signed up for and created an AWS account.

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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

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. If you’re looking for human feedback to improve your large language models, visit Amazon SageMaker Data Labeling and the Ground Truth Plus console.

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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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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. What is required to build an AI system?

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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

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

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

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

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

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

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

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. For details, refer to Create a standalone AWS account.

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AWS Machine Learning Blog

MAY 7, 2024

Whether you’re looking to classify documents, extract keywords, detect and redact personally identifiable information (PIIs), or parse semantic relationships, you can start ideating your use case and use LLMs for your natural language processing (NLP).

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AWS Machine Learning Blog

JUNE 1, 2023

Deploy the trained ByteTrack model with different deployment options depending on your use case: real-time processing, asynchronous, or batch prediction. Prerequisites Before getting started, complete the following prerequisites: Create an AWS account or use an existing AWS account.

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AWS Machine Learning Blog

FEBRUARY 28, 2023

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. The high-level steps involved in the solution are as follows: Use AWS Step Functions to orchestrate the health data anonymization pipeline.

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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. Step-by-step solution Step 1 A client makes a request to the AWS API Gateway endpoint.

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AWS Machine Learning Blog

AUGUST 16, 2023

Additionally, you can find more examples showcasing different use cases and implementation approaches using SageMaker Pipelines in the AWS SageMaker Examples GitHub repository. About the Authors Pranav Murthy is an AI/ML Specialist Solutions Architect at AWS. In his free time, he enjoys playing chess and traveling.

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AWS Machine Learning Blog

FEBRUARY 10, 2023

He helps AWS customers identify and build ML solutions to address their business challenges in areas such as logistics, personalization and recommendations, computer vision, fraud prevention, forecasting and supply chain optimization. He is broadly interested in Deep Learning and Natural Language Processing.

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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

SEPTEMBER 6, 2023

The model is deployed in an AWS secure environment and under your VPC controls, helping ensure data security. Instruction tuning format In instruction fine-tuning, the model is fine-tuned for a set of natural language processing (NLP) tasks described using instructions.

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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 The process relies on manual annotations to train ML models, which are very costly.

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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

Yoav Shoham is the Co-CEO and Co-Founder of AI21 Labs, a company that aims to create natural language understanding and natural language generation systems. 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

Yoav Shoham is the Co-CEO and Co-Founder of AI21 Labs, a company that aims to create natural language understanding and natural language generation systems. 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 was to find and fine-tune an LLM to classify toxic language.

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AWS Machine Learning Blog

FEBRUARY 29, 2024

In this post, we investigate of potential for the AWS Graviton3 processor to accelerate neural network training for ThirdAI’s unique CPU-based deep learning engine. As shown in our results, we observed a significant training speedup with AWS Graviton3 over the comparable Intel and NVIDIA instances on several representative modeling workloads.

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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. He focuses on developing scalable machine learning algorithms.

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Pickl AI

APRIL 2, 2024

Data science is the process of extracting the valuable minerals – the insights – that can transform your business. It’s a blend of statistics, computer science, and domain knowledge used to extract knowledge and create solutions from data. Data science for business leaders isn’t about becoming a coding pro.

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