Auto-classification Auto-complete Software Development 
AWS Machine Learning Blog
APRIL 8, 2024
This version offers support for new models (including Mixture of Experts), performance and usability improvements across inference backends, as well as new generation details for increased control and prediction explainability (such as reason for generation completion and token level log probabilities).
AWS Machine Learning Blog
JUNE 23, 2023
Another option is to download complete data for your ML model training use cases using SageMaker Data Wrangler processing jobs. After you check out the data type matching applied by SageMaker Data Wrangler, complete the following steps: Choose the plus sign next to Data types and choose Add analysis. This is a one-time setup.
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AWS Machine Learning Blog
OCTOBER 8, 2024
In this blog post, we explore a comprehensive approach to time series forecasting using the Amazon SageMaker AutoMLV2 Software Development Kit (SDK). In the training phase, CSV data is uploaded to Amazon S3, followed by the creation of an AutoML job, model creation, and checking for job completion.
AWS Machine Learning Blog
NOVEMBER 14, 2024
It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. Following are the steps completed by using APIs to create and share a model package group across accounts. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk.
AWS Machine Learning Blog
JULY 31, 2023
In this post, we show how a business analyst can evaluate and understand a classification churn model created with SageMaker Canvas using the Advanced metrics tab. Cost-sensitive classification – In some applications, the cost of misclassification for different classes can be different.
Google Research AI blog
JANUARY 18, 2023
We have also seen significant success in using large language models (LLMs) trained on source code (instead of natural language text data) that can assist our internal developers, as described in ML-Enhanced Code Completion Improves Developer Productivity. The pixels in the same colors are attended together.
The MLOps Blog
FEBRUARY 27, 2023
You would address it in a completely different way, depending on what’s the problem. 2 The more interesting ones are the ones that don’t have the data science teams, or sometimes they don’t even have software developers in the way that they are companies that live in the 21st century.
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