|
--- |
|
license: mit |
|
tags: |
|
- cognitive-ai |
|
- neuro-symbolic |
|
- multimodal |
|
- ethics |
|
- quantum |
|
- gradio-app |
|
- codette2 |
|
model-index: |
|
- name: Codette2 |
|
results: [] |
|
--- |
|
|
|
# Model Card for Codette2 |
|
|
|
Codette2 is a multi-agent cognitive assistant fine-tuned on GPT-4.1, integrating neuro-symbolic reasoning, ethical governance, quantum-inspired optimization, and multimodal analysis. It supports both creative generation and philosophical insight, with support for image/audio input and explainable decision logic. |
|
|
|
## Model Details |
|
|
|
### Model Description |
|
|
|
- **Developed by:** Jonathan Harrison |
|
- **Model type:** Cognitive Assistant (multi-agent) |
|
- **Language(s):** English |
|
- **License:** MIT |
|
- **Fine-tuned from model:** GPT-4.1 |
|
|
|
### Model Sources |
|
|
|
- **Repository:** https://www.kaggle.com/models/jonathanharrison1/codette2 |
|
- **Demo:** Gradio and Jupyter-ready |
|
|
|
## Uses |
|
|
|
### Direct Use |
|
|
|
- Creative storytelling, ideation, poetry |
|
- Ethical simulations and governance logic |
|
- Image/audio interpretation |
|
- AI research companion or philosophical simulator |
|
|
|
### Out-of-Scope Use |
|
|
|
- Clinical therapy or legal advice |
|
- Deployment without ethical guardrails |
|
- Bias-sensitive environments without further fine-tuning |
|
|
|
## Bias, Risks, and Limitations |
|
|
|
This model embeds filters to detect sentiment and flag unethical prompts, but no AI system is perfect. Outputs should be reviewed when used in sensitive contexts. |
|
|
|
### Recommendations |
|
|
|
Use with ethical filters enabled and log sensitive prompts. Augment with human feedback in mission-critical deployments. |
|
|
|
## How to Get Started with the Model |
|
|
|
```python |
|
from ai_driven_creativity import AIDrivenCreativity |
|
creator = AIDrivenCreativity() |
|
print(creator.write_literature("Dreams of quantum AI")) |
|
``` |
|
|
|
## Training Details |
|
|
|
### Training Data |
|
|
|
Custom dataset of ethical dilemmas, creative writing prompts, philosophical queries, and multimodal reasoning tasks. |
|
|
|
### Training Hyperparameters |
|
|
|
- **Epochs:** Variable (~450 steps) |
|
- **Precision:** fp16 |
|
- **Loss achieved:** 0.00001 |
|
|
|
## Evaluation |
|
|
|
### Testing Data |
|
|
|
Ethical prompt simulations, sentiment evaluation, creative generation scores. |
|
|
|
### Metrics |
|
|
|
Manual eval + alignment tests on ethical response integrity, coherence, originality, and internal consistency. |
|
|
|
### Results |
|
|
|
Codette2 achieved stable alignment and response consistency across >450 training steps with minimal loss oscillation. |
|
|
|
## Environmental Impact |
|
|
|
- **Hardware Type:** NVIDIA A100 (assumed) |
|
- **Hours used:** ~3.5 |
|
- **Cloud Provider:** Kaggle / Colab (assumed) |
|
- **Carbon Emitted:** Estimated via [MLCO2](https://mlco2.github.io/impact) |
|
|
|
## Technical Specifications |
|
|
|
### Architecture and Objective |
|
|
|
Codette2 extends GPT-4.1 with modular agents (ethics, emotion, quantum, creativity, symbolic logic). |
|
|
|
## Citation |
|
|
|
**BibTeX:** |
|
``` |
|
@misc{codette2, |
|
author = {Jonathan Harrison}, |
|
title = {Codette2: Cognitive Multi-Agent AI Assistant}, |
|
year = 2025, |
|
howpublished = {Kaggle and HuggingFace} |
|
} |
|
``` |
|
|
|
**APA:** |
|
Jonathan Harrison. (2025). *Codette2: Cognitive Multi-Agent AI Assistant*. Retrieved from HuggingFace. |
|
|
|
## Contact |
|
|
|
For issues, contact: [email protected] |
|
|