Chattie or Predibase? A Comprehensive Review

No coding needed

Customizable chatbots

Integrates ChatGPT

Unique data training

Supports multiple data sources

Auto-generated prompts

Snippet prompts

Theme editor

Full CSS support

Real-time theme preview

Low-code platform

Fast ML model training

Efficient deployment

Minimal configuration code needed

Large language models support

Audio classification support

Bot detection capability

Fraud detection feature

Suitable for customer sentiment analysis

Topic classification functionality

Limited messaging capacity

Steep pricing plans

Training data size limitations

No free permanent plan

Limited chatbot number

Requires website integration

No standalone application

No options for non-web chatbots

Lack of transparency in training process

No programmable fallbacks

Complex configuration code required

Limited to certain ML models

Built on specific open-source technologies

Requires granular-level model adjustments

Private model hosting not default

Deployment requires specific infrastructure knowledge

Excessively developer-focused

less for non-tech

Requires historical data for use

Proven scalability not explicitly stated