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Description
DaVinci is an interaction orchestration platform enabling the building and deployment of agent and customer experiences.
DaVinci is made up of two primary layers:
Experience Orchestration: DaVinci’s event-driven architecture and enterprise application framework along with the largest collection of pre-built apps for leading CRM and contact center solutions gives CX leaders and solution architects complete control of the user experience.
Deployment Orchestration: Through infrastructure services like identity and access management, and data management with day 1 data protection DaVinci simplifies and accelerates deployments of interaction management solutions.
AMC's Interaction Orchestration Platform, the library of apps, and contact center integration make it easy to integrate your contact center. Or, you can expand beyond the box by exploring endless options. Computer telephony integration allows you to go beyond modern expectations in terms of routing, workflows, and more. CTI makes it easy for users to access tools such as screen pop, click-to-dial, and other features right from their CRM. It's easy to integrate CTI with existing applications (CRM and phone system).
Description
Instruction-following models like GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have seen significant advancements in their capabilities, leading to a rise in their usage among individuals in both personal and professional contexts. Despite their growing popularity and integration into daily tasks, these models are not without their shortcomings, as they can sometimes disseminate inaccurate information, reinforce harmful stereotypes, and use inappropriate language. To effectively tackle these critical issues, it is essential for researchers and scholars to become actively involved in exploring these models further. However, conducting research on instruction-following models within academic settings has posed challenges due to the unavailability of models with comparable functionality to proprietary options like OpenAI’s text-DaVinci-003. In response to this gap, we are presenting our insights on an instruction-following language model named Alpaca, which has been fine-tuned from Meta’s LLaMA 7B model, aiming to contribute to the discourse and development in this field. This initiative represents a step towards enhancing the understanding and capabilities of instruction-following models in a more accessible manner for researchers.
API Access
Has API
API Access
Has API
Integrations
BERT
ChatGPT
Dolly
GPT-4
Llama
Ludwig
Stable LM
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
AMC Technology
Founded
1995
Country
United States
Website
www.amctechnology.com/contact-center-solution/
Vendor Details
Company Name
Stanford Center for Research on Foundation Models (CRFM)
Country
United States
Website
crfm.stanford.edu/2023/03/13/alpaca.html
Product Features
Call Center
Blended Call Center
Call Logging
Call Recording
Call Scripting
Campaign Management
Database
Escalation Management
IVR / Voice Recognition
Inbound Call Center
Manual Dialer
Outbound Call Center
Predictive Dialer
Progressive Dialer
Queue Management
Real-time Chat
Reporting/Analytics