Trudo AI or Passio? A Comprehensive Review

Fine-tunes without coding

Real-time performance tracking

Model enhancement using spreadsheets

Auto JSON conversion with multiple columns

Fine-tuning through CSV files

Memory enhancement through embeddings

Text similarity recognition

Multiple integration support

Prompt and completion support

Automatic structured data generation

Customizable SDKs

Compatible with iOS and Android

Integrated mobile data collection

Tailored vertical-specific vision modules

User-defined data taxonomy

Supports data annotation

Complete end-to-end development

Module for Mindseye

Accommodates brand-specific user interfaces

Easy deployment on mobile

Limited to GPT3 models

No code customization

Dependant on external APIs

Lacks variety in integrations

Possible output predictability issues

Potential limitations in long-term memory

Complex UI for non-technical users

Dependent on CSV files

Real-time tracking might lag

Spreadsheet-based enhancement limits

Limited to mobile platforms

Specific industry focused modules

Might need specific technical knowledge

No clear pricing information

Dependent on user-collected data

Lack of tool integration

Limited customization options

App-dependent performance evaluation

SDK testing required