Response Customization in Large Language Model Development
Model Type:
Text-to-Text Transformer
Intended User:
Developers customizing model response across different applications and domains.
Output:
Text
Describe how the model works:
Generates score based on the quality of the last assistant response in conversation
Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of:
Not Applicable
Verified to have met prescribed quality standards:
Yes
Technical Limitations:
This model may not work well beyond input sequence length of 8, 192 tokens.
Performance Metrics:
Throughput and Latency
Potential Known Risks:
The model was trained on data that contains toxic language, unsafe content, and societal biases originally crawled from the internet. Therefore, the model may amplify those biases and return toxic responses especially when prompted with toxic prompts. The model may generate answers that may be inaccurate, omit key information, or include irrelevant or redundant text producing socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive.
