Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Revolutionary machine teaching is here with an exceptionally efficient annotation tool driven by active learning. Prodigy serves as a customizable annotation platform so effective that data scientists can handle the annotation process themselves, paving the way for rapid iteration. The advancements in today's transfer learning technologies allow for the training of high-quality models using minimal examples. By utilizing Prodigy, you can fully leverage contemporary machine learning techniques, embracing a more flexible method for data gathering. This will enable you to accelerate your workflow, gain greater autonomy, and deliver significantly more successful projects. Prodigy merges cutting-edge insights from the realms of machine learning and user experience design. Its ongoing active learning framework ensures that you only need to annotate those examples the model is uncertain about. The web application is not only powerful and extensible but also adheres to the latest user experience standards. The brilliance lies in its straightforward design: it encourages you to concentrate on one decision at a time, keeping you actively engaged – akin to a swipe-right approach for data. Additionally, this streamlined process fosters a more enjoyable and effective annotation experience overall.
Description
Build, test and optimize Generative AI apps that unlock the value in your data.
Our industry-leading ML expertise, our state-of-the art test and evaluation platform and advanced retrieval augmented-generation (RAG) pipelines will help you optimize LLM performance to meet your domain-specific needs.
We provide an end-toend solution that manages the entire ML Lifecycle. We combine cutting-edge technology with operational excellence to help teams develop high-quality datasets, because better data leads better AI.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Amazon S3
No
Azure Blob Storage
No
Azure Marketplace
No
Claude
No
Coral
No
Diffgram Data Labeling
No
Google Cloud Storage
No
Google Docs
No
OpenAI
No
Pilot
No
Integrations
Amazon S3
Yes
Azure Blob Storage
Yes
Azure Marketplace
Yes
Claude
Yes
Coral
Yes
Diffgram Data Labeling
Yes
Google Cloud Storage
Yes
Google Docs
Yes
OpenAI
Yes
Pilot
Yes
Pricing Details
$490 one-time fee
Per seat, available in packs of 5 seats
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Explosion
Founded
2016
Country
Germany
Website
prodi.gy/
Vendor Details
Company Name
Scale AI
Founded
2016
Country
United States
Website
scale.com
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
Yes
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
Yes
Team Collaboration
No
Training Data Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
Yes
For Sales
Yes
For eCommerce
Yes
Image Recognition
Yes
Machine Learning
Yes
Multi-Language
Yes
Natural Language Processing
Yes
Predictive Analytics
Yes
Process/Workflow Automation
Yes
Rules-Based Automation
Yes
Virtual Personal Assistant (VPA)
No
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
No
Templates
Yes
Visualization
Yes
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
No
Parsing
Yes
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
No
Tokenization
No