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Model
Generates responses for various text-generation tasks including roleplaying, retrieval augmented generation, and function calling.
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| Field | Response |
|---|---|
| Intended Domain: | Game Non-Playable Character (NPC) Development |
| Model Type: | Generative Pre-Trained Transformer (GPT)-3 |
| Intended User: | Enterprise developers building game NPCs. |
| Output: | Text String(s) |
| Describe how the model works: | Generates a response using the input text and context such as NPC background information. |
| Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable |
| Verified to have met prescribed NVIDIA quality standards: | Yes |
| Performance Metrics: | Accuracy, Latency, and Throughput |
| Potential Known Risks: | The model was trained on data that contains toxic language 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. This issue could be exacerbated without the use of the recommended prompt template. The model may exhibit self-anthropomorphism (e.g., displaying human-like characteristics in dialogue, such as expressing preferences and emotions). The model may also amplify biases and return toxic responses especially when prompted with toxic prompts. If you are going to use this model in an agentic workflow, validate that the imported packages are from a trusted source to ensure end-to-end security. |
| Licensing: | NVIDIA Open Model License |
| Technical Limitations: | The model may generate answers that are inaccurate, omit key information, or include irrelevant or redundant text. This model may generate inaccurate responses in non-English languages. |