APIs SaaS Scripts 
AWS Machine Learning
JANUARY 24, 2025
These steps might involve both the use of an LLM and external data sources and APIs. Agent plugin controller This component is responsible for the API integration to external data sources and APIs. The LLM agent is an orchestrator of a set of steps that might be necessary to complete the desired request.
AWS Machine Learning
FEBRUARY 19, 2024
With this architecture, a software as a service (SaaS) business can break the linearly increasing cost of hosting multiple models and achieve reuse of infrastructure consistent with the multi-tenancy model applied elsewhere in the application stack. Scaling – Model servers are designed to handle concurrent requests from multiple clients.
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AWS Machine Learning
MARCH 21, 2023
Instead of hardcoding the custom function into your custom transform step, you pull a script containing the function from CodeCommit, load it, and call the loaded function in your custom transform step. We use the get_file API function to pull files from the CodeCommit repository into the Data Wrangler environment. Choose Preview.
AWS Machine Learning
JUNE 4, 2024
Terraform is an IaC tool that allows you to manage AWS resources, software as a service (SaaS) resources, datasets, and more, using declarative configuration. You first create the local Python script named dialogsum-dataset-finetune.py , which is used to download the dataset and save it to disk. Next, you edit the main.tf
AWS Machine Learning
AUGUST 3, 2023
For software as a service (SaaS) providers in particular, the ability to train and serve thousands of models efficiently and cost-effectively is crucial for staying competitive in a rapidly evolving market. script containing the training logic: import tarfile import boto3 import os [. argument parsing. ] argument parsing. ]
AWS Machine Learning
MARCH 1, 2023
Please refer to section 4, “Preparing data,” from the post Building a custom classifier using Amazon Comprehend for the script and detailed information on data preparation and structure. Configuring datasets To add labeled training or test data to a flywheel, use the Amazon Comprehend console or API to create a dataset.
AWS Machine Learning
JULY 29, 2022
These customized ML models can either be deployed to the AWS Cloud using cloud APIs or to custom edge hardware using AWS IoT Greengrass. The scripts outputs an image that includes the color and location of the defects on the anomalous image. Finally, we demonstrate a Python-based sample application running on the EC2 (C5a.2xl)
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