AWS Machine Learning Blog

MARCH 28, 2024

You can deploy this solution with just a few clicks using Amazon SageMaker JumpStart , a fully managed platform that offers state-of-the-art foundation models for various use cases such as content writing, code generation, question answering, copywriting, summarization, classification, and information retrieval.

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LLM Auto-complete Auto-classification Generative AI 130

Heartbeat

MARCH 1, 2023

Tracking your image classification experiments with Comet ML Photo from nmedia on Shutterstock.com Introduction Image classification is a task that involves training a neural network to recognize and classify items in images. A convolutional neural network (CNN) is primarily used for image classification.

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Convolutional Neural Networks Neural Network Auto-classification Categorization 52

AWS Machine Learning Blog

JULY 31, 2023

It also enables you to evaluate the models using advanced metrics as if you were a data scientist. 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.

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Auto-classification Machine Learning ML Auto-complete 91

AWS Machine Learning Blog

NOVEMBER 16, 2023

Answers can come in the form of categorical, continuous value, or binary responses. The enhanced data contains new data features relative to this example use case. In your application, take time to imagine the diverse set of questions available in your images to help your classification or regression task.

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ML Machine Learning Computer Vision Auto-classification 105

Heartbeat

DECEMBER 27, 2023

Use Case To drive the understanding of the containerization of machine learning applications, we will build an end-to-end machine learning classification application. The sample data for this project is E-Commerce Shipping data found on Kaggle to predict whether product shipments were delivered on time. Prerequisite Python 3.8

Machine Learning 52

Machine Learning Python ML Categorization 52

AWS Machine Learning Blog

SEPTEMBER 6, 2023

This results in a need for further fine-tuning of these generative AI models over the use case-specific and domain-specific data. What is Llama 2 Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. Llama 2 is intended for commercial and research use in English.

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Auto-complete Machine Learning ML Python 118

AWS Machine Learning Blog

NOVEMBER 1, 2023

Key strengths of VLP include the effective utilization of pre-trained VLMs and LLMs, enabling zero-shot or few-shot predictions without necessitating task-specific modifications, and categorizing images from a broad spectrum through casual multi-round dialogues. To mitigate the effects of the mistakes, the diversity of demonstrations matter.

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Auto-classification LLM Auto-complete Generative AI 112

AWS Machine Learning Blog

NOVEMBER 30, 2023

Optimized for handling categorical variables. Random forest: A tree-based algorithm that uses several decision trees on random sub-samples of the data with replacement. This algorithm can handle data that is not linearly separable. This is a binary classification problem. Select Data Split. An AUPRC of 0.86

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Machine Learning Neural Network Algorithm Auto-classification 108