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Add llm-stats.com as a reference under Evaluations #118

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Expand Up @@ -261,6 +261,7 @@ Reliably evaluating LLMs is a complex but essential task guiding data generation
* [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) by EleutherAI: A popular framework for evaluating LLMs using automated benchmarks.
* [Lighteval](https://github.com/huggingface/lighteval) by Hugging Face: Alternative evaluation framework that also includes model-based evaluations.
* [Chatbot Arena](https://lmarena.ai/) by LMSYS: Elo rating of general-purpose LLMs, based on comparisons made by humans (human evaluation).
* [LLM Stats](https://llm-stats.com/): Analyze and compare API models across benchmarks, pricing, and capabilities. Built on community data.

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### 7. Quantization
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