StableBeluga2 or Humley? A Comprehensive Review

Fine-tuned on Llama2 70B

Supports text generation

Built with Transformers library

Prompt-based input

Customizable output parameters

Trained on Orca-style dataset

Uses mixed-precision training

Optimized with AdamW

Available on Hugging Face

Accessible through code snippet

No-code platform

Enables self-serve experiences

Integration-ready

Supports multi-channel operations

Data retention capabilities

User feedback option

Rapid project turnaround

Secure deployment

Insightful analytics offering

Serves intuitive customer flows

Requires specific prompt format

Potential for objectionable responses

Fine-tuned model licensing restrictions

Only English language support

Reliance on HuggingFace Transformers

Dependent on Orca-style dataset

Limited to chat

Q&A tasks

Non-commercial usage limitation

Needs manual safety testing

No clear data privacy

Limited customization abilities

Dependent on external systems for integration

Potential bottlenecks in multichannel support

No automatic software updates mentioned

No SDK/API for external integration

No version control to manage changes

Potential lack of support for multiple languages

Missing comprehensive user control settings

Lack of predictive analytics capabilities