Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Phoenix serves as a comprehensive open-source observability toolkit tailored for experimentation, evaluation, and troubleshooting purposes. It empowers AI engineers and data scientists to swiftly visualize their datasets, assess performance metrics, identify problems, and export relevant data for enhancements. Developed by Arize AI, the creators of a leading AI observability platform, alongside a dedicated group of core contributors, Phoenix is compatible with OpenTelemetry and OpenInference instrumentation standards. The primary package is known as arize-phoenix, and several auxiliary packages cater to specialized applications. Furthermore, our semantic layer enhances LLM telemetry within OpenTelemetry, facilitating the automatic instrumentation of widely-used packages. This versatile library supports tracing for AI applications, allowing for both manual instrumentation and seamless integrations with tools like LlamaIndex, Langchain, and OpenAI. By employing LLM tracing, Phoenix meticulously logs the routes taken by requests as they navigate through various stages or components of an LLM application, thus providing a clearer understanding of system performance and potential bottlenecks. Ultimately, Phoenix aims to streamline the development process, enabling users to maximize the efficiency and reliability of their AI solutions.
Description
Phoenix is Stenograph's Automatic Speech Recognition (ASR) engine tailored specifically for the court reporting sector, drawing on Stenograph's extensive expertise in legal terminology, formatting, and editing practices. As a robust resource, Phoenix enhances reporters' productivity and streamlines the transcript creation process, ultimately leading to greater efficiency in their work. Integrated into CATalyst Check It, Phoenix enables stenographers to quickly pinpoint discrepancies between the audio and the transcribed text, significantly reducing keystrokes and facilitating straightforward text modifications during the editing phase, which can save an average of 45 minutes per assignment. Additionally, MAXScribe capitalizes on Phoenix's speech technology and its inherent legal formatting skills, delivering a comprehensive solution for recording, annotating, translating in real-time, editing, and producing transcripts. With an impressive accuracy rate of up to 94% in recognizing proper nouns, grammar, identifying speakers, and discerning questions and colloquy, Phoenix stands out as a vital tool in the court reporting field. By ensuring high levels of precision and efficiency, Phoenix not only supports the work of court reporters but also enhances the overall quality of legal documentation.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Arize AI
Yes
Codestral
Yes
Codestral Mamba
Yes
Conda
Yes
CrewAI
Yes
Databricks
Yes
Gemini Enterprise Agent Platform
Yes
GitHub
Yes
Haystack
Yes
JavaScript
Yes
Integrations
Arize AI
No
Codestral
No
Codestral Mamba
No
Conda
No
CrewAI
No
Databricks
No
Gemini Enterprise Agent Platform
No
GitHub
No
Haystack
No
JavaScript
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Arize AI
Country
United States
Website
docs.arize.com/phoenix
Vendor Details
Company Name
Stenograph
Founded
1938
Country
United States
Website
www.stenograph.com/phoenix