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What is Supervised?

Utilize the power of OpenAI's GPT technology to create your own supervised large language models by leveraging your unique data assets. Organizations looking to integrate AI into their workflows can benefit from Supervised, which facilitates the creation of scalable AI applications. While building a custom LLM may seem daunting, Supervised streamlines the process, enabling you to design and promote your own AI solutions. The Supervised AI platform provides a robust framework for developing personalized LLMs and effective AI applications that can scale with your needs. By harnessing our specialized models along with various data sources, you can quickly achieve high-accuracy AI outcomes. Many companies are still only beginning to explore the vast possibilities that AI offers, and Supervised empowers you to unlock the potential of your data to build an entirely new AI model from scratch. Additionally, you have the option to create bespoke AI applications using data and models contributed by other developers, thereby broadening the opportunities for innovation within your organization. With Supervised, the journey to AI transformation becomes more accessible and achievable than ever before.

What is StableVicuna?

StableVicuna is the first large-scale open-source chatbot that has been developed utilizing reinforced learning from human feedback (RLHF). Building on the Vicuna v0 13b model, it has undergone significant enhancements through further instruction fine-tuning and additional RLHF training. By employing Vicuna as its core model, StableVicuna follows a rigorous three-phase RLHF framework as outlined by researchers Steinnon et al. and Ouyang et al. To achieve its remarkable performance, we engage in further training of the base Vicuna model through supervised fine-tuning (SFT), drawing from a combination of three unique datasets. The first dataset utilized is the OpenAssistant Conversations Dataset (OASST1), which contains 161,443 human-contributed messages organized into 66,497 conversation trees across 35 different languages. The second dataset, known as GPT4All Prompt Generations, includes 437,605 prompts along with responses generated by the GPT-3.5 Turbo model. The final dataset is the Alpaca dataset, featuring 52,000 instructions and examples derived from OpenAI's text-davinci-003 model. This multifaceted training strategy significantly bolsters the chatbot's capability to interact meaningfully across a variety of conversational scenarios, setting a new standard for open-source conversational AI.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

$19 per month

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Supervised

Company Website

supervised.co

Company Facts

Organization Name

Stability AI

Date Founded

2019

Company Location

United Kingdom

Company Website

stability.ai/

Categories and Features

AI Development

Not specified

Categories and Features

Chatbot

Not specified

Conversational AI

Not specified

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