LLM Insight Forge Documentation
===============================

.. image:: https://img.shields.io/badge/License-MIT-yellow.svg
   :target: https://opensource.org/licenses/MIT
   :alt: License: MIT

A comprehensive toolkit for LLM evaluation, prompt engineering, fine-tuning, and inference optimization.

Key Features
-----------

* **📊 Evaluation**: Metrics for assessing LLM outputs (BLEU, ROUGE, semantic similarity, factuality, hallucination detection)
* **✨ Prompt Engineering**: Templates, optimization techniques, and jailbreak detection
* **🔧 Fine-Tuning**: Dataset preparation, SFT, and parameter-efficient methods
* **⚡ Inference Optimization**: Model quantization and batched inference

.. toctree::
   :maxdepth: 2
   :caption: Contents:

   installation
   quickstart
   user_guide/index
   api_reference/index
   examples
   contributing
   changelog

Indices and tables
==================

* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`