DrivenData Labs

MARCH 8, 2023

" description = "A small example package" authors = [ { name = "Example Author" , email = "author@example.com" }, ] license = { file = "LICENSE" } readme = "README.md" One easy way to actually build your package is to use the (maybe too simply named) build package.

Python 246

Python 246

AWS Machine Learning Blog

NOVEMBER 24, 2023

It provides a comprehensive set of capabilities for building generative AI applications while ensuring privacy and security are maintained. We’ve provided detailed instructions in the accompanying README file. The README file contains all the information you need to get started, from requirements to deployment guidelines.

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AWS Machine Learning Blog

NOVEMBER 7, 2023

Refer to the deployment instructions within the readme file for deploying it into your AWS account. Refer to the deployment instructions within the readme file for deploying it into your AWS account. Refer to the deployment instructions within the readme file for deploying it into your AWS account.

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AWS AI AI Database 90

AWS Machine Learning Blog

FEBRUARY 9, 2024

A software as a service (SaaS) layer for foundation models can provide a simple and consistent interface for end-users, while maintaining centralized governance of access and consumption. Deploy the AWS CDK stack Follow the instructions in the README file of the GitHub repository to configure and deploy the AWS CDK stack.

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AWS Machine Learning Machine Learning Python 124

AWS Machine Learning Blog

MAY 9, 2023

The source of medication information could be the patient’s memory, a prescription bottle, or from a list of medications the patient, clinician, or other party maintains. A common scenario where this information is captured is during the history-taking process in the course of a patient visit or stay.

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AWS Natural Language Processing ML ML 68

Ocean Protocol

FEBRUARY 28, 2024

Coming into this step, both predictoors and traders onboard via READMEs to run Python bots. From community feedback we learned that deploying and maintaining the various Ocean components (Aquarius, Provider, Subgraph, C2D) is too complex. Goal 2: Scale up. Here are sub-steps: 2.1 Reduce trading friction via TG bots & more.

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AWS Machine Learning Blog

MAY 2, 2023

All of this can be achieved while allowing you to maintain full control and visibility on the dataset. Complete the steps listed in the README file. Autopilot automatically explores different solutions to find the best model, and users can either iterate on the ML model or directly deploy the model to production with one click.

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ML ML Data Scientist AWS 66

AWS Machine Learning Blog

AUGUST 29, 2023

The presented MLOps workflow provides a reusable template for managing the ML lifecycle through automation, monitoring, auditability, and scalability, thereby reducing the complexities and costs of maintaining batch inference workloads in production. Refer to the README file to update the general solution variables in the./env_files/dev_env.tfvars

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AWS Data Quality Data Scientist Python 71

AWS Machine Learning Blog

NOVEMBER 1, 2023

QLoRA maintains the pre-trained model weights in a static state and introduces trainable rank decomposition matrices into each layer of the Transformer structure. Refer to the following README for multimodality dataset preparation and the fine-tuning script for further details.

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AWS Clustering Deep Learning Deep Learning 88

The MLOps Blog

AUGUST 4, 2023

Keeping the data pipelines and ML code in the same repo helps maintain this tight integration and streamline the workflow. However, writing code that is clean, easy to read, and maintain might not always be their strongest side. You’ve made a change in a utility function you maintain, ran the tests, and all’s green.

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ML ML Machine Learning Machine Learning 52

AWS Machine Learning Blog

MAY 8, 2023

Deploy the solution infrastructure To deploy the solution described in this post, follow the detailed instructions in the GitHub repository README. It’s important to understand that users are external to MLflow, therefore a consistent governance requires maintaining the IAM policies, especially in case of very granular permissions.

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AWS Data Science Machine Learning Machine Learning 69

AWS Machine Learning Blog

NOVEMBER 10, 2023

And in the same way that we as ML practitioners accumulate knowledge over these runs, Amazon SageMaker Automatic Model Tuning (AMT) with warm starts can maintain this knowledge acquired in previous tuning jobs for the next tuning job as well. Make sure to clone the full repository in your environment as described in the README file.

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ML ML Algorithm Python 84