Snorkel AI

JULY 14, 2023

classification, information extraction) using programmatic labeling, fine-tuning, and distillation. This is especially helpful for classification across many classes, where users tend to write more LFs. Intelligent Auto-Suggest Strategies for Labeling Functions You can now target specific error hotspots using slice-based suggestions.

Auto-classification 52

Auto-classification Data Scientist Machine Learning LLM 52

Snorkel AI

JULY 14, 2023

classification, information extraction) using programmatic labeling, fine-tuning, and distillation. This is especially helpful for classification across many classes, where users tend to write more LFs. Intelligent Auto-Suggest Strategies for Labeling Functions You can now target specific error hotspots using slice-based suggestions.

Auto-classification 52

Auto-classification Machine Learning Data Science Data Platform 52

Snorkel AI

JULY 14, 2023

classification, information extraction) using programmatic labeling, fine-tuning, and distillation. This is especially helpful for classification across many classes, where users tend to write more LFs. Intelligent Auto-Suggest Strategies for Labeling Functions You can now target specific error hotspots using slice-based suggestions.

Auto-classification 52

Auto-classification Machine Learning Data Science Data Platform 52

AWS Machine Learning Blog

OCTOBER 8, 2024

It provides a straightforward way to create high-quality models tailored to your specific problem type, be it classification, regression, or forecasting, among others. Davide Gallitelli is a Senior Specialist Solutions Architect for AI/ML in the EMEA region. He is based in Brussels and works closely with customers throughout Benelux.

Machine Learning 95

Machine Learning Auto-complete Auto-classification Metadata 95

Bugra Akyildiz

MAY 14, 2023

Simulation of consumption of queue up to drivers estimated position becomes an easy simple algorithm and results in wait time classification. Google built a no-code end to end ML based framework called Visual blocks and published a post on this.

Auto-classification 52

Auto-classification LLM ML Python 52

Viso.ai

DECEMBER 3, 2023

Get a demo for your organization. While human joint detectors show good performance for static images, their performances often come short when the ML models are applied to video sequences for real-time pose tracking. provides the leading end-to-end Computer Vision Platform Viso Suite. What Is Pose Estimation?

Deep Learning 98

Deep Learning Computer Vision Neural Network Robotics 98

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Snorkel AI

FEBRUARY 2, 2023

If you’re not familiar with the Snorkel Flow platform, the iteration loop looks like this: Label programmatically: Encode labeling rationale as labeling functions (LFs) that the platform uses as sources of weak supervision to intelligently auto-label training data at scale. Auto-generated tag-based LFs. Streamlined tagging workflows.

Auto-classification 52

Auto-classification Software Engineer Neural Network Machine Learning 52

Viso.ai

MARCH 29, 2024

Viso Suite doesn’t just cover model training but extends to the entire ML pipeline from sourcing data to security. To learn more about Viso Suite, book a demo. Developing a Machine Learning App Using Streamlit you can develop different types of ML apps , such as for data analytics, trends, forecasts, etc.

Computer Vision 52

Computer Vision Auto-classification Machine Learning Python 52

DataRobot Blog

FEBRUARY 2, 2023

Then you can use the model to perform tasks such as text generation, classification, and translation. Demo See DataRobot in Action Watch a demo The post Simplify Deployment and Monitoring of Foundation Models with DataRobot MLOps appeared first on DataRobot AI Platform. This is where the DataRobot MLOps comes into play.

BERT 52

BERT Large Language Models Natural Language Processing Machine Learning 52

John Snow Labs

MAY 24, 2023

Likewise, almost 80% of AI/ML projects stall at some stage before deployment. Companies can use high-quality human-powered data annotation services to enhance ML and AI implementations. Also, ML and AI models need voluminous amounts of labeled data to learn from. – It offers documentation and live demos for ease of use.

Natural Language Processing 52

Natural Language Processing NLP Machine Learning Auto-classification 52

Mlearning.ai

JUNE 28, 2023

Photo by Joshua Hoehne on Unsplash Quick Links Demo Source code Before It Began When I started this project, I wanted to make something that I and the people around me, like teachers and friends, will use every day. This is the link [8] to the article about this Zero-Shot Classification NLP. There will be a lot of tasks to complete.

Machine Learning 52

Machine Learning NLP Auto-classification Natural Language Processing 52

Snorkel AI

FEBRUARY 27, 2023

His presentation also highlights the ways that Snorkel’s platform, Snorkel Flow, enables users to rapidly and programmatically label and develop datasets and then use them to train ML models. And so this leads to this constant iteration of labeling and relabeling and reshaping and redeveloping the data that fuels and determines ML models.

Machine Learning 52

Machine Learning Large Language Models AI AI 52

Snorkel AI

FEBRUARY 27, 2023

His presentation also highlights the ways that Snorkel’s platform, Snorkel Flow, enables users to rapidly and programmatically label and develop datasets and then use them to train ML models. And so this leads to this constant iteration of labeling and relabeling and reshaping and redeveloping the data that fuels and determines ML models.

Machine Learning 52

Machine Learning Large Language Models AI AI 52

Heartbeat

DECEMBER 27, 2023

The machine learning (ML) lifecycle defines steps to derive values to meet business objectives using ML and artificial intelligence (AI). Use Case To drive the understanding of the containerization of machine learning applications, we will build an end-to-end machine learning classification application. Flask==2.1.2

Machine Learning 52

Machine Learning Python ML Categorization 52