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 The source code is available in the GitHub repository.

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Towards AI

APRIL 19, 2024

Amazon (AWS) 👉Industry domain: Online retail and web services provider 👉Location: Over 175 Amazon fulfillment centers globally 👉Year founded: 1994 👉Key Products developed: Amazon Bedrock, Q, Code Whisperer, Sage Maker 👉Benefits: Fully managed generative AI service options, AWS free tier for experimentation 7.

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Towards AI

APRIL 4, 2024

pip install python-dotenv Then, create a file named.env in the root directory of their project. and AWS via Coursera. Yarnit U+007C Generative AI platform for personalized content creation Discover the power of Yarnit.app, the generative AI driven digital content creation platform. To do this, you’ll need to import the libraries.

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AWS Machine Learning Blog

MARCH 21, 2023

Amazon SageMaker geospatial capabilities —now generally available in the AWS Oregon Region—provide a new and much simpler solution to this problem. The notebooks and code with a deployment-ready implementation of the analyses shown in this post are available at the GitHub repository Guidance for Geospatial Insights for Sustainability on AWS.

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AWS Machine Learning Blog

JUNE 8, 2023

LLMs are based on the Transformer architecture , a deep learning neural network introduced in June 2017 that can be trained on a massive corpus of unlabeled text. The AWS Lambda function uses the requests from the Amazon Lex bot or the QnABot to prepare the payload to invoke the SageMaker endpoint using LangChain.

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Towards AI

JULY 17, 2023

Colab allows anybody to write and execute arbitrary python code through the browser, and is especially well suited to machine learning, data analysis and education. Colab was first introduced in 2017 as a research project by Google.

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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. For our example use case, we work with the Fashion200K dataset , released at ICCV 2017. To illustrate and walk you through the process in this post, we use the Fashion200K dataset released at ICCV 2017. A retail company is building a mobile app to help customers buy clothes.

Machine Learning 101

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Mlearning.ai

AUGUST 6, 2023

Towards the end of my studies, I incorporated basic supervised learning into my thesis and picked up Python programming at the same time. That was in 2017. I also learnt about cloud computing, specifically, AWS. I also started on my data science journey by attending the Coursera specialization by Andrew Ng —  Deep Learning.

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Explosion

AUGUST 1, 2019

Based on the (fairly vague) marketing copy, AWS might be doing something similar in SageMaker. In a recent talk at Google Berlin, Jacob Devlin described how Google are using his BERT architectures internally. The models are too large to serve in production , but they can be used to supervise a smaller production model.

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Flipboard

APRIL 4, 2025

2017) provided the first evidence that RLHF could be economically scaled up to practical applications. Do not forget to restart your Python kernel after installing the preceding libraries before you import them. 2017) Deep reinforcement learning from human preferences. Christiano et al. Rafailov R. Christiano P.

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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

SEPTEMBER 6, 2023

Now you can also fine-tune 7 billion, 13 billion, and 70 billion parameters Llama 2 text generation models on SageMaker JumpStart using the Amazon SageMaker Studio UI with a few clicks or using the SageMaker Python SDK. The model is deployed in an AWS secure environment and under your VPC controls, helping ensure data security.

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Flipboard

JANUARY 15, 2025

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. Specifically, we need to predict how changes to one part of the AWS global backbone network might affect traffic patterns and performance across the entire system.

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AWS Machine Learning Blog

NOVEMBER 27, 2024

Solution overview The chess demo uses a broad spectrum of AWS services to create an interactive and engaging gaming experience. On the frontend, AWS Amplify hosts a responsive React TypeScript application while providing secure user authentication through Amazon Cognito using the Amplify SDK. The demo offers a few gameplay options.

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AWS Machine Learning Blog

NOVEMBER 6, 2024

The code artifacts are in Python. Transcribe audio with Amazon Transcribe In this case, we use an AWS re:Invent 2023 technical talk as a sample. AWS operating income was $9.4 AWS revenue grew 17.2% Use case overview In this post, we discuss three example use cases in detail. billion, which was $3.3

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AssemblyAI

DECEMBER 15, 2024

In 2017, several major brands were up in arms when they found their advertising content had been placed next to videos about terrorism on a major video sharing platform. You will need an AWS account, an AWS account ID, and IAM user profile to use Amazon Rekognition. 75 per 1,000 images, $.38 Pricing varies based on usage.

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