add PyLLMs

README.md

@@ -423,6 +423,7 @@ Please review our [CONTRIBUTING.md](/~https://github.com/EthicalML/awesome-product
 * [MLC LLM](/~https://github.com/mlc-ai/mlc-llm) ![](https://img.shields.io/github/stars/mlc-ai/mlc-llm.svg?style=social) - MLC LLM is a universal solution that allows any language models to be deployed natively on a diverse set of hardware backends and native applications, plus a productive framework for everyone to further optimize model performance for their own use cases.
 * [Ollama](/~https://github.com/ollama/ollama) ![](https://img.shields.io/github/stars/ollama/ollama.svg?style=social) - Get up and running with large language models, locally.
 * [PaddleNLP](/~https://github.com/PaddlePaddle/PaddleNLP) ![](https://img.shields.io/github/stars/PaddlePaddle/PaddleNLP.svg?style=social) - PaddleNLP is a Large Language Model (LLM) development suite based on the PaddlePaddle deep learning framework, supporting efficient large model training, lossless compression, and high-performance inference on various hardware devices.
+* [PyLLMs](/~https://github.com/kagisearch/pyllms) ![](https://img.shields.io/github/stars/kagisearch/pyllms.svg?style=social) - PyLLMs is a minimal Python library to connect to various Language Models (LLMs) with a built-in model performance benchmark.
 * [Semantic Kernel](/~https://github.com/microsoft/semantic-kernel) ![](https://img.shields.io/github/stars/microsoft/semantic-kernel.svg?style=social) - Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code.
 * [sense2vec](/~https://github.com/explosion/sense2vec) ![](https://img.shields.io/github/stars/explosion/sense2vec.svg?style=social) - A Pytorch library that allows for training and using sense2vec models, which are models that leverage the same approach than word2vec, but also leverage part-of-speech attributes for each token, which allows it to be "meaning-aware".
 * [Sentence Transformers](/~https://github.com/UKPLab/sentence-transformers) ![](https://img.shields.io/github/stars/UKPLab/sentence-transformers.svg?style=social) - Sentence Transformers provides an easy method to compute dense vector representations for sentences, paragraphs, and images.