The MLOps Blog

FEBRUARY 27, 2023

Every episode is focused on one specific ML topic, and during this one, we talked to Michal Tadeusiak about managing computer vision projects. I’m joined by my co-host, Stephen, and with us today, we have Michal Tadeusiak , who will be answering questions about managing computer vision projects.

Computer Vision 52

Computer Vision Auto-classification Auto-complete ML 52

AWS Machine Learning Blog

FEBRUARY 20, 2024

This time-consuming process must be completed before content can be dubbed into another language. SageMaker asynchronous endpoints support upload sizes up to 1 GB and incorporate auto scaling features that efficiently mitigate traffic spikes and save costs during off-peak times. __dict__[WAV2VEC2_MODEL].get_model(dl_kwargs={"model_dir":

Metadata 99

Metadata Auto-complete Machine Learning Deep Learning 99

PyImageSearch

OCTOBER 2, 2023

Jump Right To The Downloads Section A Deep Dive into Variational Autoencoder with PyTorch Introduction Deep learning has achieved remarkable success in supervised tasks, especially in image recognition. in their paper Auto-Encoding Variational Bayes. Auto-Encoding Variational Bayes. The config.py The torch.nn

Computer Vision 117

Computer Vision Deep Learning Neural Network Auto-complete 117

The MLOps Blog

JUNE 27, 2023

When thinking about a tool for metadata storage and management, you should consider: General business-related items : Pricing model, security, and support. Flexibility, speed, and accessibility : can you customize the metadata structure? Can you see the complete model lineage with data/models/experiments used downstream?

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

AWS Machine Learning Blog

MAY 31, 2023

PyTorch is a machine learning (ML) framework based on the Torch library, used for applications such as computer vision and natural language processing. PyTorch supports dynamic computational graphs, enabling network behavior to be changed at runtime. Triton uses TorchScript for improved performance and flexibility.

ML 87

ML Auto-classification Auto-complete Natural Language Processing 87

AWS Machine Learning Blog

JUNE 13, 2023

In addition, all SageMaker real-time endpoints benefit from built-in capabilities to manage and monitor models, such as including shadow variants , auto scaling , and native integration with Amazon CloudWatch (for more information, refer to CloudWatch Metrics for Multi-Model Endpoint Deployments ). 2xlarge instances.

Generative AI 67

Generative AI Auto-complete AI Modeling Machine Learning 67

The MLOps Blog

JANUARY 19, 2024

Large language models Large Language Models (LLMs) are huge deep-learning models pre-trained on vast data. But nowadays, it is used for various tasks, ranging from language modeling to computer vision and generative AI. This helps in training large AI models, even on computers with little memory. <pre

LLM 52

LLM Auto-complete Large Language Models Natural Language Processing 52