Unite.AI

DECEMBER 19, 2023

DL is built on a neural network and uses its “brain” to continuously train itself on raw data. This is the advantage of the platform being powered by DL and enables us to provide a proactive, prevention-first approach whereas other solutions that leverage AI and ML provide reactionary capabilities.

Neural Network 147

Neural Network Deep Learning ML Metadata 147

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.

LLM 130

LLM Auto-complete Auto-classification Generative AI 130

ODSC - Open Data Science

OCTOBER 11, 2023

Be sure to check out his talk, “ How to Practice Data-Centric AI and Have AI Improve its Own Dataset ,” there! Even with the most advanced neural network architectures, if the training data is flawed, the model will suffer. Machine learning models are only as good as the data they are trained on.

Auto-classification 52

Auto-classification Auto-complete Data Drift Machine Learning 52

The MLOps Blog

JUNE 27, 2023

Some of its features include a data labeling workforce, annotation workflows, active learning and auto-labeling, scalability and infrastructure, and so on. The platform provides a comprehensive set of annotation tools, including object detection, segmentation, and classification.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

Flipboard

APRIL 13, 2023

Like all AI, generative AI is powered by ML models—very large models that are pre-trained on vast amounts of data and commonly referred to as Foundation Models (FMs). To give a sense for the change in scale, the largest pre-trained model in 2019 was 330M parameters. We’ll initially have two Titan models.

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Generative AI ML AI AI 182