Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
ARISDA Bridge integrates timecode functionality from DaVinci Resolve, a dedicated studio clock, and seamless work-time tracking with invoicing, all within a single Windows application designed for DaVinci Resolve Studio.
The timecode is derived from both the Scripting API and MIDI/MCU on the Edit page, as well as real LTC audio on the Fairlight page, ensuring precision even during playback jumps and scrubbing. Additionally, the standalone studio clock features NTP time, a stopwatch, and a countdown timer with an alarm, functioning independently from Resolve. Automatic tracking of work time is available per project and per page within DaVinci Resolve, allowing for client-specific rates and easy invoicing in multiple languages with a single click.
Furthermore, it optionally supports PunchLight studio hardware, such as the Studio Warning Display and Studio Display USB, ensuring that both talent and director are always aware of when recording is taking place. This application requires DaVinci Resolve Studio and Windows 11 to operate and is offered as a one-time purchase without the need for a subscription. ARISDA Bridge thus provides a comprehensive solution for studio workflow management and invoicing.
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
Screenshots View All
No images available
Integrations
BERT
ChatGPT
Dolly
GPT-4
Llama
Ludwig
Stable LM
Pricing Details
€83 + tax (one-time)
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
ARISDA
Country
Germany
Website
arisdabridge.com
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
Video Editing
3D Video Editing
Audio Tools
Brand Overlay
Collaboration
Media Library
Social Sharing
Speed Adjustment
Split / Merge
Supports HD Resolution
Text Overlay
Video Capture
Video Stabilization
Product Features
Alternatives
No Alternatives