# Tool: Create Prompt for Machine Learning Model Training

> Scaffold PyTorch and TensorFlow deep learning pipelines with the BOPINK ML Engine Prompt Studio. Designed for Machine Learning Engineers and AI Researchers, this tool constructs comprehensive prompt specifications for writing CUDA-accelerated model training scripts, DataLoader pipelines, custom loss functions, TensorBoard logging, and hyperparameter tuning.

**Category**: prompts-code-design | **Target AI Models**: Gemini 3.1 Pro, GPT-4o

## Domain Parameters:
- `mlFramework` (select): ML Library & Backend (Default: "PyTorch")
- `hardwareTarget` (select): Compute Acceleration Device (Default: "CUDA GPU")
- `includeEarlyStopping` (toggle): Early Stopping & Schedulers (Default: "true")
- `dataAugmentation` (toggle): DataLoader Augmentations (Default: "true")

## Master Prompt Engineering Architecture (5 Pillars):
1. **Role & Persona**: Domain expert framing
2. **Task & Deliverable**: Primary objective & constraints
3. **Context & Parameters**: Technical specs & camera/stack parameters
4. **Negative Constraints**: Forbidden artifacts & bad practices
5. **Output Spec**: Section formatting & XML/Markdown structure

## Programmatic API Execution:
```http
POST /api/generate-prompt
Content-Type: application/json

{
  "toolSlug": "create-prompt-for-machine-learning-model-training",
  "rawPrompt": "Your raw concept here",
  "thinkingLevel": "HIGH"
}
```