Update README.md

README.md

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 ### Evaluation
 TeapotLLM is focused on in-context reasoning tasks, and therefore most benchmarks are not suitable for evaluation. We want TeapotLLM to be a practical tool for QnA and information extraction, so we have developed custom datasets to benchmark performance. 
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 [Evaluation Notebook Here](https://github.com/zakerytclarke/teapot/blob/main/docs/evals/TeapotLLM_Benchmark.ipynb)
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 #### Synthqa Evaluation
 [Synthqa](https://huggingface.co/datasets/teapotai/synthqa) is a dataset focused on in-context QnA and information extraction tasks. We use the validation set to benchmark TeapotLLM against other models of similar size. All benchmarks were run using a Google Colab Notebook running on CPU with High Ram. Teapot significantly outperforms models of similar size, with low latency CPU inference and improved accuracy.