AWS Machine Learning Blog

JUNE 23, 2023

In this case, because we’re training the dataset to predict whether the transaction is fraudulent or valid, we use binary classification. For Training method and algorithms , select Auto. For Select the machine learning problem type , choose Binary classification. For Target , choose Class as the column to predict.

Auto-complete 78

Auto-complete Auto-classification ML Data Quality 78

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.

Auto-classification 84

Auto-classification Machine Learning ML Auto-complete 84

AWS Machine Learning Blog

JUNE 12, 2023

It can support a wide variety of use cases, including text classification, token classification, text generation, question and answering, entity extraction, summarization, sentiment analysis, and many more. Rahul Huilgol is a Senior Software Development Engineer in Distributed Deep Learning at Amazon Web Services.

Deep Learning 69

Deep Learning Auto-classification Computer Vision Large Language Models 69

Snorkel AI

FEBRUARY 27, 2023

This is a platform that supports this new data-centric development loop. It’s this fast, iterative process that begins to look more like software development (no code, or via code) rather than what ML often looks like today, which is waiting weeks or months manually labeling datasets for every single turn of the crank.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

Snorkel AI

FEBRUARY 27, 2023

This is a platform that supports this new data-centric development loop. It’s this fast, iterative process that begins to look more like software development (no code, or via code) rather than what ML often looks like today, which is waiting weeks or months manually labeling datasets for every single turn of the crank.

Machine Learning 52

Machine Learning AI AI Large Language Models 52

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. language models, image classification models, or speech recognition models).

Computer Vision 132

Computer Vision Auto-classification Large Language Models Neural Network 132

The MLOps Blog

MARCH 23, 2023

These models have achieved various groundbreaking results in many NLP tasks like question-answering, summarization, language translation, classification, paraphrasing, et cetera. 5 Leverage serverless computing for a pay-per-use model, lower operational overhead, and auto-scaling. 2 Calculate the size of the model.

NLP 115

NLP LLM Large Language Models Natural Language Processing 115

AWS Machine Learning Blog

JANUARY 17, 2024

Llama 2 is an auto-regressive generative text language model that uses an optimized transformer architecture. As a publicly available model, Llama 2 is designed for many NLP tasks such as text classification, sentiment analysis, language translation, language modeling, text generation, and dialogue systems.

Auto-complete 109

Auto-complete Python Deep Learning Machine Learning 109

Flipboard

APRIL 13, 2023

For instance, a financial firm that needs to auto-generate a daily activity report for internal circulation using all the relevant transactions can customize the model with proprietary data, which will include past reports, so that the FM learns how these reports should read and what data was used to generate them.

Generative AI 182

Generative AI ML AI AI 182

AWS Machine Learning Blog

AUGUST 8, 2023

In cases where the MME receives many invocation requests, and additional instances (or an auto-scaling policy) are in place, SageMaker routes some requests to other instances in the inference cluster to accommodate for the high traffic. These labels include 1,000 class labels from the ImageNet dataset. !

BERT 81

BERT Deep Learning Auto-classification ML 81