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Description
Leverage the capabilities of OpenAI's GPT technology to develop your own supervised large language models, utilizing your proprietary data. Companies eager to adopt AI into their operations can take advantage of Supervised to create scalable artificial intelligence applications. Although the process of constructing your own LLM can be challenging, Supervised simplifies this by allowing you to develop and market your own AI applications. The Supervised AI platform offers a robust environment for crafting customized LLMs and AI applications that are both effective and scalable. By employing our tailored models and diverse data sources, you can achieve high-accuracy AI solutions rapidly. Currently, many businesses are only scratching the surface of AI's potential, and at Supervised, we empower you to tap into your data to create an entirely new AI model from the ground up. Additionally, you can develop custom AI applications using data sources and models created by other developers, expanding the possibilities for innovation in your organization.
Description
The Universal Sentence Encoder (USE) transforms text into high-dimensional vectors that are useful for a range of applications, including text classification, semantic similarity, and clustering. It provides two distinct model types: one leveraging the Transformer architecture and another utilizing a Deep Averaging Network (DAN), which helps to balance accuracy and computational efficiency effectively. The Transformer-based variant generates context-sensitive embeddings by analyzing the entire input sequence at once, while the DAN variant creates embeddings by averaging the individual word embeddings, which are then processed through a feedforward neural network. These generated embeddings not only support rapid semantic similarity assessments but also improve the performance of various downstream tasks, even with limited supervised training data. Additionally, the USE can be easily accessed through TensorFlow Hub, making it simple to incorporate into diverse applications. This accessibility enhances its appeal to developers looking to implement advanced natural language processing techniques seamlessly.
API Access
Has API
API Access
Has API
Integrations
Google Colab
TensorFlow
Pricing Details
$19 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Supervised
Website
supervised.co
Vendor Details
Company Name
Tensorflow
Founded
2015
Country
United States
Website
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder