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Description
Indigo.ai serves as a comprehensive conversational AI platform that enables the creation and development of engaging chatbots, facilitates the scaling of AI applications, and provides tools for analyzing conversational interactions. Many top organizations leverage Indigo.ai to enhance their conversational AI capabilities. It offers a centralized solution for managing all conversational AI data and communications, automating interactions, constructing AI solutions, and tapping into valuable insights from dialogues. The platform is equipped with an array of advanced tools designed for text annotation, dataset enhancement, and ensuring the quality of natural language processing. To enhance both AI model performance and customer satisfaction, it’s crucial to engage with and comprehend textual information. Users can develop highly accurate machine learning models while optimizing efficiency and minimizing expenses. Additionally, the platform allows for the collection of information and insights from business conversations, automatically transforming unstructured data into structured text. By interacting with customers, businesses can gain a deeper understanding of their needs, leading to improvements in products, services, and customer support. Ultimately, Indigo.ai empowers organizations to harness the full potential of conversational interactions for better decision-making and growth.
Description
StableVicuna represents the inaugural large-scale open-source chatbot developed through reinforced learning from human feedback (RLHF). It is an advanced version of the Vicuna v0 13b model, which has undergone further instruction fine-tuning and RLHF training. To attain the impressive capabilities of StableVicuna, we use Vicuna as the foundational model and adhere to the established three-stage RLHF framework proposed by Steinnon et al. and Ouyang et al. Specifically, we perform additional training on the base Vicuna model with supervised fine-tuning (SFT), utilizing a blend of three distinct datasets. The first is the OpenAssistant Conversations Dataset (OASST1), which consists of 161,443 human-generated messages across 66,497 conversation trees in 35 languages. The second dataset is GPT4All Prompt Generations, encompassing 437,605 prompts paired with responses created by GPT-3.5 Turbo. Lastly, the Alpaca dataset features 52,000 instructions and demonstrations that were produced using OpenAI's text-davinci-003 model. This collective approach to training enhances the chatbot's ability to engage effectively in diverse conversational contexts.
API Access
Has API
API Access
Has API
Integrations
Alexa
Android
Apple iOS
Facebook Messenger
Google Assistant
HubSpot CRM
HubSpot Customer Platform
Microsoft Dynamics 365
SAP Cloud Platform
Salesforce
Integrations
Alexa
Android
Apple iOS
Facebook Messenger
Google Assistant
HubSpot CRM
HubSpot Customer Platform
Microsoft Dynamics 365
SAP Cloud Platform
Salesforce
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
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
Indigo.ai
Founded
2016
Country
Italy
Website
indigo.ai/en/
Vendor Details
Company Name
Stability AI
Founded
2019
Country
United Kingdom
Website
stability.ai/
Product Features
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
Product 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