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. Unfortunately, as in the real world, not all players communicate appropriately and respectfully.

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AWS Machine Learning Blog

MAY 31, 2023

Getting AWS Certified can help you propel your career, whether you’re looking to find a new role, showcase your skills to take on a new project, or become your team’s go-to expert. Reading the FAQ page of the AWS services relevant for your certification exam is important in order to acquire a deeper understanding of the service.

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AWS Machine Learning Blog

JUNE 26, 2024

This post is a follow-up to Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets. For unstructured data, the agent uses AWS Lambda functions with AI services such as Amazon Comprehend for natural language processing (NLP). The following diagram illustrates the technical architecture.

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Flipboard

NOVEMBER 24, 2023

This use case highlights how large language models (LLMs) are able to become a translator between human languages (English, Spanish, Arabic, and more) and machine interpretable languages (Python, Java, Scala, SQL, and so on) along with sophisticated internal reasoning.

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AWS Machine Learning Blog

NOVEMBER 14, 2023

The solution also uses Amazon Bedrock , a fully managed service that makes foundation models (FMs) from Amazon and third-party model providers accessible through the AWS Management Console and APIs. Prerequisites For this tutorial, you need a bash terminal with Python 3.9 Architecture diagram for fake news detection.

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Flipboard

FEBRUARY 2, 2023

There are around 3,000 and 4,000 plays from four NFL seasons (2018–2021) for punt and kickoff plays, respectively. GluonTS is a Python package for probabilistic time series modeling, but the SBP distribution is not specific to time series, and we were able to repurpose it for regression.

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AWS Machine Learning Blog

APRIL 19, 2023

Right now, most deep learning frameworks are built for Python, but this neglects the large number of Java developers and developers who have existing Java code bases they want to integrate the increasingly powerful capabilities of deep learning into. Business requirements We are the US squad of the Sportradar AI department.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

In terms of resulting speedups, the approximate order is programming hardware, then programming against PBA APIs, then programming in an unmanaged language such as C++, then a managed language such as Python. In 2018, other forms of PBAs became available, and by 2020, PBAs were being widely used for parallel problems, such as training of NN.

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AWS Machine Learning Blog

APRIL 3, 2023

Prerequisites You need an AWS account to use this solution. To run this JumpStart 1P Solution and have the infrastructure deployed to your AWS account, you need to create an active Amazon SageMaker Studio instance (refer to Onboard to Amazon SageMaker Domain ).

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IBM Journey to AI blog

JANUARY 10, 2023

This data will be analyzed using Netezza SQL and Python code to determine if the flight delays for the first half of 2022 have increased over flight delays compared to earlier periods of time within the current data (January 2019 – December 2021). Figure 7 – Initial query using the historical data (2003 – 2018).

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AWS Machine Learning Blog

JUNE 5, 2023

The single-GPU instance that we use is a low-cost example of the many instance types AWS provides. Training this model on a single GPU highlights AWS’s commitment to being the most cost-effective provider of AI/ML services. Prerequisites In order to follow along, you should have the following prerequisites: An AWS account.

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AWS Machine Learning Blog

NOVEMBER 21, 2023

python -m pip install -q amazon-textract-prettyprinter You have the option to format the text in markdown format, exclude text from within figures in the document, and exclude page header, footer, and page number extractions from the linearized output. She is focused on building machine learning–based services for AWS customers.

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AWS Machine Learning Blog

AUGUST 16, 2023

The images document the land cover, or physical surface features, of ten European countries between June 2017 and May 2018. This can be done using the BigEarthNet Common and the BigEarthNet GDF Builder helper packages : python -m bigearthnet_gdf_builder.builder build-recommended-s2-parquet BigEarthNet-v1.0/ tif" --include "_B03.tif"

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AWS Machine Learning Blog

MAY 5, 2023

This is a joint post co-written by AWS and Voxel51. Voxel51 is the company behind FiftyOne, the open-source toolkit for building high-quality datasets and computer vision models. A retail company is building a mobile app to help customers buy clothes.

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AWS Machine Learning Blog

MAY 22, 2023

Prerequisites To get started, all you need is an AWS account in which you can use Studio. Fine-tune FLAN-T5 using a Python notebook Our example notebook shows how to use Jumpstart and SageMaker to programmatically fine-tune and deploy a FLAN T5 XL model. Baris Kurt is an Applied Scientist at AWS AI Labs.

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O'Reilly Media

NOVEMBER 28, 2023

How will AI adopters react when the cost of renting infrastructure from AWS, Microsoft, or Google rises? If ChatGPT writes a Python script for you, you may not care why it wrote that particular script rather than something else. That’s not the same as failure, and 2018 significantly predates generative AI.

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Snorkel AI

MAY 25, 2023

From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models. The plot was boring and the acting was awful: Negative This movie was okay. For example, instead of asking the LLM for the output of a Python function given a particular input, the user can ask the LLM to show the execution trace.

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Snorkel AI

MAY 25, 2023

From 2018 to the modern day, NLP researchers have engaged in a steady march toward ever-larger models. The plot was boring and the acting was awful: Negative This movie was okay. For example, instead of asking the LLM for the output of a Python function given a particular input, the user can ask the LLM to show the execution trace.

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Explosion

AUGUST 1, 2019

Based on the (fairly vague) marketing copy, AWS might be doing something similar in SageMaker. 2018) in using the vector for the class token to represent the sentence, and passing this vector forward into a softmax layer in order to perform classification. in accuracy depending on the task and dataset. and follows Devlin et al.

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AWS Machine Learning Blog

MARCH 30, 2023

Please use below python code to curate interactions dataset from the MovieLens public dataset. Choose the new aws-trending-now recipe. For Solution version ID , choose the solution version that uses the aws-trending-now recipe. For the interactions data, we use ratings history from the movies review dataset, MovieLens.

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AWS Machine Learning Blog

FEBRUARY 5, 2024

This notebook enables direct visualization and processing of geospatial data within a Python notebook environment. With the GPU-powered interactive visualizer and Python notebooks, it’s possible to explore millions of data points in one view, facilitating the collaborative exploration of insights and results. max() - layer['raw_idx'].min())

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AWS Machine Learning Blog

DECEMBER 1, 2024

In this blog post, I will look at what makes physical AWS DeepRacer racing—a real car on a real track—different to racing in the virtual world—a model in a simulated 3D environment. The AWS DeepRacer League is wrapping up. The original AWS DeepRacer, without modifications, has a smaller speed range of about 2 meters per second.

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Towards AI

NOVEMBER 6, 2024

Since SimTalk is unfamiliar to LLMs due to its proprietary nature and limited training data, the out-of-the-box code generation quality is quite poor compared to more popular programming languages like Python, which have extensive publicly available datasets and broader community support.

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Prerequisites To try out this solution using SageMaker JumpStart, you’ll need the following prerequisites: An AWS account that will contain all of your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker. We then also cover how to fine-tune the model using SageMaker Python SDK.

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