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---
name: 'tensor-operations'
description: 'Tensor Operations'
---
# Tensor Operations
Fundamental linear algebra operations for understanding Transformers and attention mechanisms.
## When to Use This Skill
* When you need to manually compute Attention mechanisms.
* For educational purposes to understand "Self-Attention".
* To creating custom masks for sequence modeling.
## Core Capabilities
1. **Scaled Dot Product Attention**: `softmax(QK^T / sqrt(d_k))`.
2. **Causal Masking**: Create lower-triangular masks for GPT-style generation.
## Workflow
1. **Input**: Query, Key, Value matrices.
2. **Execute**: Run the script.
3. **Output**: Attention scores and weighted values.
## Example Usage
**User**: "Compute attention for these matrices."
**Agent Action**:
```bash
python3 Skills/Mathematics/Linear_Algebra/tensor_operations.py
```
