Unite.AI

FEBRUARY 12, 2025

The system automatically tracks stock movements and allocates materials to orders (using a smart auto-booking engine) to maintain optimal inventory levels. Key features of Katana: Live Inventory Control: Real-time tracking of raw materials and products with auto-booking to allocate stock to orders efficiently.

AI Tools 260

AI Tools Machine Learning Auto-complete AI 260

Towards AI

APRIL 27, 2023

Because selecting it judicially reduces the data movement, data processing computation, and data labeling costs downstream Then once the data is collected, synchronized, and selected, it needs to be labeled, which, again, no one from the AI team wants to do. SAM from Meta AI — the chatGPT moment for computer vision AI It’s a disruption.

Automation 98

Automation Auto-complete Computer Vision ChatGPT 98

Flipboard

MARCH 13, 2023

We orchestrate our ML training and deployment pipelines using Amazon Managed Workflows for Apache Airflow (Amazon MWAA), which enables us to focus more on programmatically authoring workflows and pipelines without having to worry about auto scaling or infrastructure maintenance. Sahil Thapar is an Enterprise Solutions Architect.

Data Scientist 123

Data Scientist Auto-complete Machine Learning ML 123

AWS Machine Learning Blog

JUNE 13, 2023

This post is co-written with Jad Chamoun, Director of Engineering at Forethought Technologies, Inc. and Salina Wu, Senior ML Engineer at Forethought Technologies, Inc. In addition, deployments are now as simple as calling Boto3 SageMaker APIs and attaching the proper auto scaling policies. 2xlarge instances.

Generative AI 90

Generative AI Auto-complete AI Modeling Machine Learning 90

The MLOps Blog

JUNE 27, 2023

Can you see the complete model lineage with data/models/experiments used downstream? Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. MLOps workflows for computer vision and ML teams Use-case-centric annotations.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Pickl AI

JANUARY 23, 2023

Provides modularity as a series of completely configurable, independent modules that can be combined with the fewest restrictions possible. Most of the organizations make use of Caffe in order to deal with computer vision and classification related problems. Pros It’s very efficient to perform auto ML along with H2O.

Machine Learning 52

Machine Learning ML Neural Network Auto-classification 52

AWS Machine Learning Blog

JULY 23, 2024

is an auto-regressive language model that uses an optimized transformer architecture. You can now use state-of-the-art model architectures, such as language models, computer vision models, and more, without having to build them from scratch. 405B-Instruct You can use Llama models for text completion for any piece of text.

Machine Learning 128

Machine Learning Computer Vision Python ML 128