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 86

Deep Learning Auto-classification Computer Vision Machine Learning 86

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

AWS Machine Learning Blog

NOVEMBER 22, 2023

Operational excellence in IDP means applying the principles of robust software development and maintaining a high-quality customer experience to the field of document processing, while consistently meeting or surpassing service level agreements (SLAs). This post focuses on the Operational Excellence pillar of the IDP solution.

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IDP Data Extraction Machine Learning ML 111

AWS Machine Learning Blog

APRIL 19, 2023

Then we needed to Dockerize the application, write a deployment YAML file, deploy the gRPC server to our Kubernetes cluster, and make sure it’s reliable and auto scalable. In our case, we chose to use a float[] as the input type and the built-in DJL classifications as the output type.

ML 94

ML Deep Learning Python Auto-classification 94

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). It provides a straightforward way to create high-quality models tailored to your specific problem type, be it classification, regression, or forecasting, among others.

Machine Learning 93

Machine Learning Auto-complete Auto-classification Metadata 93

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

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 Large Language Models AI AI 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 Large Language Models AI AI 52

The MLOps Blog

FEBRUARY 27, 2023

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. What’s your approach to different modalities of classification detection and segmentation? Sabine: Oh yes.

Computer Vision 52

Computer Vision Auto-classification Auto-complete ML 52

AWS Machine Learning Blog

NOVEMBER 14, 2024

It also helps achieve data, project, and team isolation while supporting software development lifecycle best practices. It’s a binary classification problem where the goal is to predict whether a customer is a credit risk. After you have completed the data preparation step, it’s time to train the classification model.

ML 98

ML Machine Learning Auto-complete Auto-classification 98

AWS Machine Learning Blog

OCTOBER 18, 2023

This post details how Purina used Amazon Rekognition Custom Labels , AWS Step Functions , and other AWS Services to create an ML model that detects the pet breed from an uploaded image and then uses the prediction to auto-populate the pet attributes. AWS CodeBuild is a fully managed continuous integration service in the cloud.

Auto-complete 122

Auto-complete Auto-classification Machine Learning ML 122

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 127

Auto-complete Python Machine Learning Deep Learning 127

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 96

BERT Deep Learning Auto-classification Python 96