Gradient.AI or FieldDay? A Comprehensive Review

Customizable completion generation

Supports multiple programming languages

Facilitates private LLMs

Automates model development

Eliminates infrastructure management

Single line of code deployment

State-of-the-art open-source models

Fine-tuning capabilities

Personalized models

API backed models

Creates custom vision apps

Uses camera for productivity

Mobile machine learning toolkit

Teaches apps to 'see'

Real-time accuracy visualization

Identifies multiple objects

Label and manage models

Push model iterations

Available for iOS

Comprehensive usage guide

Limited to web API

No infrastructure control

No GUI interface

Limited model selection

Single line coding restriction

Possibly complex fine-tuning

Only supports a few languages

SOC2 compliance issues

No detailed documentation available

Only available on iOS

Potential for privacy concerns

Data collection reliant on users

Limited algorithm refinement control

Requires able smartphone camera

Manual data labelling needed

Real-time accuracy might vary

Single tap might miss-label

No mention of API Integration