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Average Ratings 0 Ratings
Description
Aware converts digital conversation data from platforms such as Slack, Teams, and Zoom into immediate insights that reveal potential risks and enhance organizational intelligence on a large scale. These digital interactions permeate every aspect of your organization; modern teamwork relies heavily on real-time collaboration, making the social connections among employees one of the fastest-growing data sources in your business. This unstructured data features its own unique language and emotional undertones, with genuine and spontaneous messages often consisting of five words or fewer. Users frequently communicate using emojis, abbreviations, and multimedia elements across various private, direct, and public channels on multiple collaboration platforms. Conventional technology struggles to grasp the context and subtleties inherent in this dataset and its distinctive behaviors. By interpreting this complex information, Aware identifies hidden, costly risks and uncovers insights that can drive innovation and enhance business value. Ultimately, Aware delivers contextual intelligence tailored to your organization’s needs, facilitating growth at scale while ensuring that no valuable insight goes unnoticed.
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
No
API Access
Has API
No
Integrations
Azure Marketplace
Yes
Cisco Webex
Yes
Google Drive
Yes
Microsoft 365
Yes
Microsoft Teams
Yes
Pocus
Yes
Slack
Yes
WorkJam
Yes
Zoom
Yes
Integrations
Azure Marketplace
No
Cisco Webex
No
Google Drive
No
Microsoft 365
No
Microsoft Teams
No
Pocus
No
Slack
No
WorkJam
No
Zoom
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Aware
Country
United States
Website
www.awarehq.com
Vendor Details
Company Name
Stability AI
Founded
2019
Country
United Kingdom
Website
stability.ai/
Product Features
Risk Management
Alerts/Notifications
No
Auditing
No
Business Process Control
No
Compliance Management
No
Corrective Actions (CAPA)
No
Dashboard
No
Exceptions Management
No
IT Risk Management
No
Internal Controls Management
No
Legal Risk Management
No
Mobile Access
No
Operational Risk Management
No
Predictive Analytics
No
Reputation Risk Management
No
Response Management
No
Risk Assessment
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Chatbot
Call to Action
No
Context and Coherence
No
Human Takeover
No
Inline Media / Videos
No
Machine Learning
No
Natural Language Processing
No
Payment Integration
No
Prediction
No
Ready-made Templates
No
Reporting / Analytics
No
Sentiment Analysis
No
Social Media Integration
No
Conversational AI
Code-free Development
No
Contextual Guidance
No
For Developers
No
Intent Recognition
No
Multi-Languages
No
Omni-Channel
No
On-Screen Chats
No
Pre-configured Bot
No
Reusable Components
No
Sentiment Analysis
No
Speech Recognition
No
Speech Synthesis
No
Virtual Assistant
No