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What is Subconscious.ai?

Subconscious.ai leverages Generative AI to create Causal Experiments, effectively simulating respondents and evaluating results that rival the most rigorous human causal studies. Initially, the platform generates hundreds of synthetic respondents, which are AI-driven profiles derived from data collected from millions of individuals. These artificial respondents facilitate large-scale simulations of realistic decision-making processes. Utilizing Causal AI, the platform conducts experiments that investigate the causal relationships influencing human behavior. This enables businesses to perform randomized controlled trials (RCTs) to assess various outcomes. Users engage with the platform by posing questions or formulating hypotheses, and the system provides guidance throughout the entire process of experimental design, including the selection of synthetic responders, audience targeting, data gathering, and subsequent analysis. Additionally, the platform streamlines all aspects of research, automating everything from the initial design of experiments to the final interpretation of results, ensuring efficiency and accuracy. By integrating these advanced methodologies, Subconscious.ai empowers organizations to gain deeper insights into human decision-making.

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

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Subconscious.ai

Date Founded

2022

Company Location

United States

Company Website

www.subconscious.ai

Company Facts

Organization Name

Stability AI

Date Founded

2019

Company Location

United Kingdom

Company Website

stability.ai/

Categories and Features

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

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