AWS Machine Learning Blog

JUNE 3, 2024

In a single visual interface, you can complete each step of a data preparation workflow: data selection, cleansing, exploration, visualization, and processing. Custom Spark commands can also expand the over 300 built-in data transformations. Complete the following steps: Choose Prepare and analyze data.

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Generative AI Categorization Auto-complete Auto-classification 127

AWS Machine Learning Blog

JULY 31, 2023

This is enabled by setting aside a portion of the historical training data so it can be compared with what the model predicts for those values. In the example of customer churn (which is a categorical classification problem), you start with a historical dataset that describes customers with many attributes (one in each record).

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Auto-classification Machine Learning ML Auto-complete 98

The MLOps Blog

SEPTEMBER 26, 2024

Causes of hallucinations include insufficient training data, misalignment, attention limitations, and tokenizer issues. Effective mitigation strategies involve enhancing data quality, alignment, information retrieval methods, and prompt engineering. In extreme cases, certain tokens can completely break an LLM.

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LLM Prompt Engineering Prompt Engineer Auto-complete 72

Chatbots Life

MAY 19, 2023

Your staff can auto-resolve issues using this ticketing system. They achieve this by asking the user for input, seeking confirmation, and collecting essential data for back-end business systems, boosting data quality and avoiding mistakes. Modern service desks offer an automated ticketing system for staff.

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Chatbots Automation Auto-complete NLP 69

AWS Machine Learning Blog

NOVEMBER 14, 2024

It includes processes for monitoring model performance, managing risks, ensuring data quality, and maintaining transparency and accountability throughout the model’s lifecycle. Following are the steps completed by using APIs to create and share a model package group across accounts. In Account A, create a model package group.

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ML Machine Learning Auto-complete Auto-classification 106

AWS Machine Learning Blog

AUGUST 15, 2024

Starting today, you can prepare your petabyte-scale data and explore many ML models with AutoML by chat and with a few clicks. In this post, we show you how you can complete all these steps with the new integration in SageMaker Canvas with Amazon EMR Serverless without writing code. Add the transform Encode categorical.

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ML Generative AI Auto-complete Data Quality 127