Osher or Predibase? A Comprehensive Review

Scalable tool

State-of-the-art encryption measures

Supports multiple document formats

Domain access restricted

Embeddable chat widget

iFrame embedding option

Multiple pricing plans

Upcoming multi-user interactions

Integration with Slack

Teams

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

No free version available

Limited document upload capacity

Limited website connectivity

Memory restricted to short-term

Multi-user interaction not supported

Website-based interaction only

Price may be high

Delayed updates after retraining

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