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Description

Gain a comprehensive understanding of your model's efficacy by logging both inputs and outputs while enhancing them with relevant metadata and user insights. This approach allows you to truly assess your model's functionality and identify areas that require refinement. Keep an eye out for errors and pinpoint underperforming user segments and scenarios that may need attention. The most effective models leverage user-generated data; therefore, systematically collect atypical or low-performing instances to enhance your model through retraining. Rather than sifting through countless outputs following adjustments to your prompts or models, adopt a programmatic evaluation of your LLM-driven applications. Rapidly identify and address performance issues by monitoring new deployments in real-time and effortlessly updating the version of your application that users engage with. Establish connections between your self-hosted or third-party models and your current data repositories for seamless integration. Handle enterprise-scale data effortlessly with our serverless streaming data flow engine, designed for efficiency and scalability. Moreover, Gantry adheres to SOC-2 standards and incorporates robust enterprise-grade authentication features to ensure data security and integrity. This dedication to compliance and security solidifies trust with users while optimizing performance.

Description

Obtain scores that assess factual accuracy, context retrieval quality, guideline compliance, tonality, among other metrics. Improvement is impossible without measurement. UpTrain consistently evaluates your application's performance against various criteria and notifies you of any declines, complete with automatic root cause analysis. This platform facilitates swift and effective experimentation across numerous prompts, model providers, and personalized configurations by generating quantitative scores that allow for straightforward comparisons and the best prompt selection. Hallucinations have been a persistent issue for LLMs since their early days. By measuring the extent of hallucinations and the quality of the retrieved context, UpTrain aids in identifying responses that lack factual correctness, ensuring they are filtered out before reaching end-users. Additionally, this proactive approach enhances the reliability of responses, fostering greater trust in automated systems.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
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 No 

Vendor Details

Company Name

Gantry

Founded

2020

Country

United States

Website

www.gantry.io

Vendor Details

Company Name

UpTrain

Country

United States

Website

uptrain.ai/

Product Features

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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