LLMInsight.ai is an open-source toolkit for evaluating, optimizing, and fine-tuning large language models (LLMs). It streamlines the entire workflow—from prompt engineering and dataset preparation to fine-tuning and inference optimization—while integrating with widely used AI libraries such as PyTorch and Hugging Face Transformers.

Features of LLMInsight.ai:

• Evaluates LLM responses using multiple metrics including BLEU, semantic similarity, and factuality.
• Provides advanced prompt engineering and optimization tools for various model architectures.
• Supports dataset preparation for fine-tuning, with customizable field mappings.
• Enables efficient model training with parameter-efficient methods like LoRA.
• Offers inference optimization techniques such as quantization for faster and lighter deployments.
• Integrates seamlessly with popular machine learning libraries like PyTorch, Transformers, scikit-learn, and more.
• Suitable for both research experiments and production-ready LLM applications.

To check the installed version of LLMInsight.ai, run these commands in your environment:

$ sudo su
$ sudo apt update
$ cd /opt/llm-insight
$ source /opt/llm-insight/venv/bin/activate
$ pip show llm-insight-forge

Disclaimer: LLMInsight.ai is released under the MIT License and is maintained by its contributors. Users are responsible for ensuring correct usage in their specific applications. The developers do not take responsibility for any consequences arising from its use. Always refer to the official documentation for the most accurate and up-to-date information.