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Average Ratings 0 Ratings
Description
Adaption equips users with the necessary tools to create AI models that can evolve alongside shifting data and requirements. This comprehensive web platform incorporates essential features such as data preparation, synthetic data generation, dataset exploration, and the process of model training. The Adaptive Data feature allows users to import various files and datasets from sources like Hugging Face or Kaggle, facilitating column mapping, deduplication, prompt transformation, augmentation, translation, and evaluation. By utilizing the Invent a Dataset function, users can generate instruction or preference data based on a specified written objective. The Visualize component enhances user experience by supporting inquiries, providing interactive charts, and enabling detailed inspection of text and tabular data on a row-by-row basis. AutoScientist plays a crucial role in optimizing training data and tailoring model recipes to meet specific goals, conducting experiments, assessing outcomes, and exporting refined models. The platform also includes workflows that cover fine-tuning, alignment, multilingual dataset expansion, and thorough data-coverage analysis. Additionally, Adaption provides API access along with a Python SDK, facilitating the seamless integration of these tools into AI development workflows, ultimately enhancing productivity and efficiency in model creation. As such, it serves as a comprehensive resource for developers seeking to leverage AI capabilities effectively.
Description
AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Dask
No
Hugging Face
Yes
Kaggle
Yes
Kubernetes
No
TensorFlow
No
Together AI
Yes
Integrations
Dask
Yes
Hugging Face
No
Kaggle
No
Kubernetes
Yes
TensorFlow
Yes
Together AI
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
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
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Adaption
Founded
2026
Country
United States
Website
adaptionlabs.ai
Vendor Details
Company Name
Snorkel AI
Founded
2019
Country
United States
Website
snorkel.ai/
Product Features
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
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
Alternatives
No Alternatives