StableBeluga2 or alphachat? 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

Quick setup

Efficiency improvement

Pre-trained in all languages

24/7 service availability

Advanced FAQ handling

Self-service system

Intent detection for accuracy

CRM integration

Backend Data connectivity

Authentication via standard log-in

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

Requires English for training

Possible disclosure of CRM data

Limited customization of widget triggers

Didn't mention encryption of data

Possible integration limitations

Potential lag in non-English languages

Limited with handling complex issues

Potential over-dependence on intent detection

Requires standard log-in for authentication

Some restriction in API usage