Anote is an AI-assisted data labeling tool that leverages state-of-the-art few-shot learning to label unstructured text data, identify and fix mislabels, and access entirely new data sources. It allows users to label a few data points, and Anote labels the rest.
Anote
AI-assisted data labeling tool using few-shot learning for unstructured text data.
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What is Anote?
How to use
Label a few data points, and Anote will label the rest using AI-assisted few-shot learning.
Core Features
- AI-assisted data labeling
- Few-shot learning
- Mislabeled data identification and fixing
- Access to new data sources
- LLM Training and Fine-tuning
- Model Performance Evaluation
Use Cases
- Labeling unstructured text data
- Training and fine-tuning LLMs
- Building private chatbots for enterprises
- Developing autonomous agents
FAQ
What is Anote?
Anote is an AI-assisted data labeling tool that uses few-shot learning to label unstructured text data, identify mislabels, and access new data sources.
What are the key features of Anote?
Key features include AI-assisted data labeling, few-shot learning, mislabel identification, access to new data sources, LLM training, and model performance evaluation.
What kind of pricing plans does Anote offer?
Anote offers Basic (Free), Standard, Premium, and Enterprise plans with varying dataset sizes, annotation limits, user numbers, and API access.
Pricing
Basic
Free
Dataset size: Up to 50 rows, Annotations allowed: Up to 10 annotations, Number of users: 1
Standard
$1,000 /mo
Dataset size: Up to 25,000 rows, Annotations allowed: Up to 5,000 annotations, Number of users: Up to 15 (3 admin, 12 annotators)
Premium
$2,500 /mo
Dataset size: Up to 50,000 rows, Annotations allowed: Up to 10,000 annotations, Number of users: Up to 30 (5 admin, 25 annotators), API Access: limited functionality
Enterprise
Contact us
Dataset size: Custom (Negotiable), Annotations allowed: Unlimited, Number of users: Unlimited, API Access: Unlimited, On Premise Version to Handle Private Data
Pros & Cons
Pros
- Reduces manual labeling effort with AI assistance
- Leverages few-shot learning for efficient labeling
- Offers various products and solutions for different needs
- Provides access to new data sources
- Offers on-premise version for handling private data
Cons
- Pricing can be high depending on the plan
- API access is limited in lower-tier plans
- Dataset size and annotation limits vary by plan