AWS Machine Learning Blog

MAY 16, 2024

In this post, we share how LotteON improved their recommendation service using Amazon SageMaker and machine learning operations (MLOps). The main AWS services used are SageMaker, Amazon EMR , AWS CodeBuild , Amazon Simple Storage Service (Amazon S3), Amazon EventBridge , AWS Lambda , and Amazon API Gateway.

Deep Learning 86

Deep Learning Auto-complete Algorithm ML 86

Towards AI

APRIL 23, 2024

The speed advantage of these smaller models will be particularly important for agent workflows where latency per call can stack up. Meta Introduced Meta Llama 3 Meta has launched Llama 3, the newest addition to its Llama series, accessible on Hugging Face.

AI 87

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Unite.AI

DECEMBER 6, 2023

The EO calls for a series of committees and position papers to be released in the coming months that will facilitate the development of policy – and, crucially, limitations – on what can, or should, be developed by AI researchers and companies. And the fact that proposals will have to be vetted by dozens of bureaucrats is no help, either.

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AWS Machine Learning Blog

NOVEMBER 22, 2023

To follow along with this post, you should be familiar with the previous posts in this series ( Part 1 and Part 2 ) and the guidelines in Guidance for Intelligent Document Processing on AWS. Frequent throttling – You may experience throttling by AWS services like Amazon Textract due to request limits.

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IDP ML Machine Learning Automation 93

O'Reilly Media

APRIL 23, 2024

That’s exactly what Google, Amazon, and Meta are doing today. Amazon aimed to help customers find the best quality and price for any one of millions of products. Amazon was late to the party, but once it discovered advertising, it went all in. They start to collect robber baron rents. But over time, something went very wrong.

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BERT Algorithm AI AI 108

AWS Machine Learning Blog

MAY 24, 2023

In this three-part series, we present a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. Source: Equifax) Part 1 of this series discusses the most common challenges associated with the manual lending process.

Automation 70

Automation Computer Vision Data Extraction IDP 70

AI News

DECEMBER 18, 2023

Recognizing the competitive advantage that AI can bring, 9 out of 10 organizations support the adoption of AI. BMW: Projecting AI Art onto Cars A luxury car manufacturer, BMW partnered with an advertising agency to project AI-generated art onto their 8 Series Gran Coupé. trillion to the global economy by 2030.

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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. By answering a series of questions in this custom lens, you will identify the potential risks and be able to resolve them by following the improvement plan.

IDP 83

IDP Machine Learning Natural Language Processing ML 83

Flipboard

NOVEMBER 21, 2023

In recent years, MathWorks has brought many product offerings into the cloud, especially on Amazon Web Services (AWS). Because we have a model of the system and faults are rare in operation, we can take advantage of simulated data to train our algorithm. For those time series tables, each table has 1,201 rows which mimic 1.2

Machine Learning 116

Machine Learning Auto-classification Python Algorithm 116

AWS Machine Learning Blog

DECEMBER 19, 2023

The solution takes advantage of AWS native features from Amazon SageMaker , building a flexible and extensible framework around this. Amazon SageMaker Role Manager is used to implement role-based ML activity, and Amazon S3 is used to store input data and artifacts.

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Machine Learning ML Engineer DevOps ML 104

AWS Machine Learning Blog

APRIL 6, 2023

In this post, we demonstrate how the MLSL and NXP employed Amazon Forecast and other custom models for long-term sales predictions for various NXP products. “We For macro-level sales prediction, we employed the Amazon Forecast AutoPredictor for our final solution. We implemented this method using PyTorch on Amazon SageMaker Studio.

Machine Learning 78

Machine Learning ML Categorization Data Scientist 78

AWS Machine Learning Blog

NOVEMBER 8, 2023

The MONAI AI models and applications can be hosted on Amazon SageMaker , which is a fully managed service to deploy machine learning (ML) models at scale. Create an Amazon SageMaker Studio domain and user profile with AWS Identity and Access Management (IAM) permission to access AWS HealthImaging.

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Metadata AI AI Python 95

Towards AI

JANUARY 30, 2024

Deepmind’s AMIE model is an example of the advantages of more specialized models. We think there are still many advantages of adapting models to specific niches, incorporating techniques such as Retrieval Augmented Generation (RAG), fine-tuning, or other machine learning approaches. Turbo model.

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AWS Machine Learning Blog

SEPTEMBER 19, 2023

For unstructured data, the agent uses AWS Lambda functions with AI services such as Amazon Textract for document analysis, Amazon Transcribe for speech recognition, Amazon Comprehend for NLP, and Amazon Kendra for intelligent search. The agent also has long-term memory for storing prompts and results in Amazon DynamoDB.

Generative AI 101

Generative AI LLM Python Large Language Models 101

IBM Journey to AI blog

AUGUST 23, 2023

When it comes to hosting applications on Amazon Web Services (AWS), one of the most important decisions you will need to make is which Amazon Elastic Compute Cloud (EC2) instance type to choose. EC2 instances are virtual machines that allow you to run your applications on AWS.

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Automation Big Data Explainability Machine Learning 100

AWS Machine Learning Blog

OCTOBER 9, 2023

In this post, we walk through how to prepare and import the MovieLens dataset , a dataset prepared by GroupLens research at the University of Minnesota, which consists of a variety of user rankings of various movies, into Amazon Personalize using Amazon SageMaker Data Wrangler. [1]

Machine Learning 87

Machine Learning Python Deep Learning Data Quality 87

AWS Machine Learning Blog

NOVEMBER 22, 2023

Building a production-ready solution in the cloud involves a series of trade-offs between resources, time, customer expectation, and business outcome. For example: With Amazon CloudWatch, you could monitor the number of documents processed through Amazon Textract.

IDP 84

IDP Data Extraction Automation ML 84

Flipboard

NOVEMBER 30, 2023

Amazon SageMaker is a fully managed service that enables developers and data scientists to quickly and effortlessly build, train, and deploy machine learning (ML) models at any scale. Deploying models to a SageMaker endpoint entails a series of steps to get the model ready to be hosted on a SageMaker endpoint.

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AWS Machine Learning Blog

APRIL 19, 2023

These models are then pushed to an Amazon Simple Storage Service (Amazon S3) bucket using DVC, a version control tool for ML models. It has intuitive helpers and utilities for modalities like computer vision, natural language processing, audio, time series, and tabular data.

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ML Deep Learning Python Auto-classification 75

AWS Machine Learning Blog

MAY 2, 2023

Today, we announce the availability of sample notebooks that demonstrate question answering tasks using a Retrieval Augmented Generation (RAG)-based approach with large language models (LLMs) in Amazon SageMaker JumpStart. Managed Spot Training is supported in all AWS Regions where Amazon SageMaker is currently available.

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LLM Algorithm Machine Learning Natural Language Processing 74

ODSC - Open Data Science

SEPTEMBER 28, 2023

How Data Scientists Can Benefit from Using LinkedIn More Let’s discuss how to use LinkedIn to your advantage as a data scientist to find a new job, highlight your expertise, and expand your network. Time Series Forecasting: ARIMA, Prophet, vs. Advanced Feature Engineering Thu, Oct 5, 2023 12:00 PM — 1:00 PM EDT Join dotData Sr.

Prompt Engineer 52

Prompt Engineer Prompt Engineering LLM Data Scientist 52

Ofemwire

NOVEMBER 21, 2023

Selling on Amazon can be tough. ChatGPT prompts can help you create compelling product listings and engaging marketing materials that will help you sell more on Amazon. The role of ChatGPT AI in the Amazon selling process is multi-fold. That’s where ChatGPT AI comes in.

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ODSC - Open Data Science

OCTOBER 5, 2023

Advantages of AI Conferences for Emerging Startups From field marketing to connecting with venture capitalists, here are a few reasons why attending AI conferences might be the best play for your startup.

Large Language Models 52

Large Language Models Prompt Engineer Prompt Engineering Artificial Intelligence 52

Unite.AI

SEPTEMBER 5, 2023

Focus on its features such as [Key Features], benefits like [Advantages], and unique selling points including [Unique Selling Points].” Best for Platforms: Company Website, Amazon, Pinterest 6. ” Description: Product descriptions can make or break a sale. Best for Platforms: Twitter, LinkedIn 12.

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ChatGPT Prompt Engineer Prompt Engineering Automation 279

Mlearning.ai

JUNE 28, 2023

Within the confines of this comprehensive guide, we shall embark on a comprehensive exploration of the multifaceted capabilities of PyCaret, unraveling its myriad advantages and acquainting ourselves with the necessary foundations to embark on a PyCaret journey.

Machine Learning 52

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AWS Machine Learning Blog

AUGUST 14, 2023

Amazon SageMaker JumpStart is a machine learning (ML) hub offering algorithms, models, and ML solutions. You can also access the foundation models thru Amazon SageMaker Studio. To learn more about instruction tuning, refer to Zero-shot prompting for the Flan-T5 foundation model in Amazon SageMaker JumpStart.

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NLP Robotics Prompt Engineer Prompt Engineering 71

AWS Machine Learning Blog

APRIL 19, 2024

In Part 1 of this series, we presented a solution that used the Amazon Titan Multimodal Embeddings model to convert individual slides from a slide deck into embeddings. We used AWS services including Amazon Bedrock , Amazon SageMaker , and Amazon OpenSearch Serverless in this solution.

Metadata 102

Metadata ML Machine Learning Natural Language Processing 102

AWS Machine Learning Blog

APRIL 24, 2024

With AWS generative AI services like Amazon Bedrock , developers can create systems that expertly manage and respond to user requests. This post assesses two primary approaches for developing AI assistants: using managed services such as Agents for Amazon Bedrock , and employing open source technologies like LangChain.

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Conversational AI LLM AI AI 108

Flipboard

JUNE 11, 2023

And this is not the only such system: Amazon CodeWhisperer , CodeGeeX , GPT-Code-Clippy , Replit Ghostwriter , and Tabnine among others, also provide AI-powered coding and code completion [see "Robo-Helpers," below].” But ChatGPT missed a greater danger : This gem applies the Ruby hex function on the key.

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Large Language Models Neural Network ChatGPT AI 170

Chatbots Life

MARCH 16, 2023

Evaluate your Conversational AI solution against our Chatbot Analysis Framework ChatGPT, the latest language model from the GPT-3 series, has set new standards in the AI industry. Basically, the ideas behind Cognigy’s release is to assess the drawbacks of both Conversational AI and ChatGPT, and combine the most advantageous facets of the two.

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AWS Machine Learning Blog

FEBRUARY 8, 2024

At the forefront of this evolution sits Amazon Bedrock , a fully managed service that makes high-performing foundation models (FMs) from Amazon and other leading AI companies available through an API. With Amazon Bedrock, you can build and scale generative AI applications with security, privacy, and responsible AI.

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Automation Generative AI Categorization Python 120

AWS Machine Learning Blog

JANUARY 17, 2024

This is a two-part series. You can use Amazon SageMaker geospatial capabilities to overlay mobility data on a base map and provide layered visualization to make collaboration easier. We can analyze activities by identifying stops made by the user or mobile device by clustering pings using ML models in Amazon SageMaker.

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ETL ML Machine Learning Data Scientist 103

AWS Machine Learning Blog

MAY 15, 2023

Getir used Amazon Forecast , a fully managed service that uses machine learning (ML) algorithms to deliver highly accurate time series forecasts, to increase revenue by four percent and reduce waste cost by 50 percent. The pipeline starts with feature creation which first creates the features and loads them to Amazon Redshift.

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Neural Network Convolutional Neural Networks Metadata Data Scientist 68

AWS Machine Learning Blog

SEPTEMBER 14, 2023

“Data locked away in text, audio, social media, and other unstructured sources can be a competitive advantage for firms that figure out how to use it“ Only 18% of organizations in a 2019 survey by Deloitte reported being able to take advantage of unstructured data. The majority of data, between 80% and 90%, is unstructured data.

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Categorization Machine Learning Data Scientist Natural Language Processing 95

Topbots

FEBRUARY 19, 2024

Each comes with its unique advantages and challenges, and understanding these is key to making an informed decision that aligns with your project’s goals, budget, and technical capabilities. Cloud platforms, such as Google Cloud Platform, Amazon Web Services, and Microsoft Azure, provide specialized services for deploying LLMs.

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LLM Natural Language Processing Automation Data Ingestion 64

Viso.ai

NOVEMBER 19, 2023

As a result, businesses that don’t adopt AI will lose out on cost efficiencies, productivity advantages, and product or customer service quality. However, major companies such as JPMorgan Chase, Amazon, Verizon, and Accenture have barred staff from using the AI chatbot; some even blocked it entirely. Software #9: Observe.AI

Computer Vision 97

Computer Vision Natural Language Processing Machine Learning Deep Learning 97

Pickl AI

JULY 6, 2023

It acts as a catalogue, providing information about the structure and location of the data. · Hive Query Processor It translates the HiveQL queries into a series of MapReduce jobs. · Hive Execution Engine It executes the generated query plans on the Hadoop cluster. It manages the execution of tasks across different environments.

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Big Data Data Analysis ETL Metadata 52