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What is v0?

V0 is a cutting-edge generative user interface platform created by Vercel that harnesses the power of AI to generate easily transferable React code, integrating shadcn/ui and Tailwind CSS for effortless project execution. By employing advanced AI models, v0 produces code based on simple text prompts, presenting users with three distinct AI-driven user interface options to select from after they input their requests. Users can choose one of the generated options and directly copy its code, or they can opt to refine specific aspects of the interface to better meet their needs. After finalizing their design, users can seamlessly copy, paste, and integrate their personalized code into their projects without any hassle. Vercel's offerings are shaped by a mix of proprietary developments and a variety of open-source and synthetic datasets. Moreover, to further elevate the performance of their products, Vercel may use user-generated content and prompts as valuable inputs for enhancing their models and learning systems, enabling more accurate and relevant recommendations tailored to user preferences. This continuous feedback loop not only improves the efficiency of Vercel's tools but also guarantees an ever-evolving user experience that adapts to emerging trends and user feedback, fostering ongoing engagement and satisfaction among users.

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

CSS
Figma
HTML
Next.js
React
Supabase
Svelte
Tailwind CSS
UX Pilot
Upstash
Vercel
Vue.js
shadcn/ui

Integrations Supported

CSS
Figma
HTML
Next.js
React
Supabase
Svelte
Tailwind CSS
UX Pilot
Upstash
Vercel
Vue.js
shadcn/ui

API Availability

Has API

API Availability

Has API

Pricing Information

$20 per month
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

Vercel

Date Founded

2015

Company Location

United States

Company Website

v0.dev/

Company Facts

Organization Name

Stability AI

Date Founded

2019

Company Location

United Kingdom

Company Website

stability.ai/

Categories and Features

Web Design

Autocompletion
Collaborative Editing
Content Management
Drag & Drop
Element Libraries
Programming Language Support
Syntax Highlighting
Templates

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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