AWS Machine Learning Blog

MAY 15, 2024

The Amazon Bedrock API returns the output Q&A JSON file to the Lambda function. The container image sends the REST API request to Amazon API Gateway (using the GET method). API Gateway communicates with the TakeExamFn Lambda function as a proxy. The JSON file is returned to API Gateway.

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AWS AI AI Artificial Intelligence 110

AWS Machine Learning Blog

MAY 3, 2023

The event-driven app includes the following steps: An Amazon CloudWatch events rule uses AWS CloudTrail to track CreateUserProfile and CreateSpace API calls, trigger the rule, and invoke the AWS Lambda function. Also, we implemented retry with exponential backoff to handle API throttle for DataSync CreateLocationEfs and CreateTask API calls.

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AWS Data Scientist Machine Learning Machine Learning 59

Cambridge Intelligence

APRIL 18, 2023

To learn more about advanced node design made easy, see 4 API functions that’ll revolutionize your graph design Make your visualizations stand out with advanced node styling Next we’ll add some interactivity. There’s a fully-documented API of functionality including real-time, dynamic and geospatial network support.

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Mlearning.ai

DECEMBER 26, 2023

Using the CUDA API Let’s include a more challenging API call here. Set program to "${workspaceRoot}/build/cuda_debug_example" as before and click in the green arrow to start the debugger: Debugging our application And again, we can debug the application similarly to debugging a regular C++ code. 2f GFlop/s, Time= %.3f

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AI AI ML ML 98

AWS Machine Learning Blog

SEPTEMBER 18, 2023

You can call get on the object ref to block the execution of the current task until the remote computation is complete and the result is available. It has APIs for common ML data preprocessing operations like parallel transformations, shuffling, grouping, and aggregations.

Machine Learning 94

Machine Learning Machine Learning ML ML 94

AWS Machine Learning Blog

MAY 14, 2024

With Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that run tasks using your enterprise systems and data sources.

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AWS AI AI Machine Learning 85

Explosion

APRIL 27, 2023

We’ll be using our own deep learning library, Thinc , which is lightweight and offers a functional programming API for composing neural networks. The machine learning model So let’s start with the first step of building the machine learning model. You could also use a different machine learning library, such as PyTorch or TensorFlow.

Machine Learning 69

Machine Learning Machine Learning Deep Learning Deep Learning 69

The MLOps Blog

JANUARY 19, 2024

compute(predictions=em_preds, references=em_refs)[ "exact_match" ] f1_result = 0 for pred, ref in zip(f1_preds, f1_refs): f1_result += metric2.compute(predictions=pred, There, you’ll also find up-to-date instructions for obtaining the project and token IDs you’ll need to connect your Colab environment to Neptune. join(em_ref)) em=metric1.compute(predictions=em_preds,

Natural Language Processing 52

Natural Language Processing ML ML Machine Learning 52

phData

NOVEMBER 13, 2023

The {{ ref() }} macro can now be used across dbt Cloud projects on Enterprise plans. Metadata Generation: Utilizes metadata from the Discovery API to display the current project state, updating automatically after each production job run. The name of the dbt model and schema model: ref('orders') #Entities.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52