Metadata-Version: 2.4
Name: genailab
Version: 0.1.1
Summary: Generative AI Lab – print experiment code instantly in Colab/Jupyter
Author: genailab
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Dynamic: author
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: requires-python
Dynamic: summary

# genailab

**Generative AI Lab** – instantly view experiment code in Colab or Jupyter.

## Install

```bash
pip install genailab
```

## Usage

```python
import genailab as ai

ai.list        # show all experiments (Jupyter: just type it)
ai.list()      # also works

ai.exp1()      # Predictive Text – N-Gram + HMM (both parts)
ai.exp1a()     # N-Gram only
ai.exp1b()     # HMM only
ai.exp2()      # Bias Audit – WEAT
ai.exp3()      # GAN – Image Generation
ai.exp4()      # LLM Architecture Comparison
ai.exp5()      # Zero-shot / Few-shot / CoT Prompting
ai.exp6()      # Semantic Retrieval with FAISS
ai.exp7()      # RAG System with Vector Database
ai.exp8()      # Fine-tuned LM + ROUGE & BLEU Evaluation
```

## Experiments

| # | Title |
|---|-------|
| 1a | N-Gram Predictive Text System |
| 1b | HMM Predictive Text System |
| 2 | Bias Audit on Word Embeddings (WEAT) |
| 3 | GAN Image Generation (MNIST) |
| 4 | LLM Architecture Comparison |
| 5 | Zero-shot / Few-shot / CoT Prompting |
| 6 | Semantic Retrieval with FAISS |
| 7 | RAG System with Vector Database |
| 8 | Fine-tuned LM + ROUGE & BLEU Evaluation |
