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README.md

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 🇹🇭 **OpenThaiGPT 7b Version 1.0.0** is an advanced 7-billion-parameter Thai language chat model based on LLaMA v2 released on April 8, 2024. It has been specifically fine-tuned for Thai instructions and enhanced by incorporating over 10,000 of the most commonly used Thai words into the large language model's (LLM) dictionary, significantly boosting its response speed.
 
 ## Highlights
-- **Leading-edge Thai language LLM**, setting new benchmarks by achieving the highest average scores across 9 Thai language evaluations when compared to all other open-source Thai LLMs.
+- **Leading-edge Thai language LLM**, setting new benchmarks by achieving the highest average scores across several Thai language exams when compared to all other open-source Thai LLMs.
+- **The First 70b Thai opensource LLM**, achieving the higher Thai exams than OpenAI GPT 3.5, Google Gemini, and Claude 3 Haiku.
 - **Support for extended conversations** across multiple turns.
-- Integration of **Retrieval Augmented Generation (RAG)** for enriched response generation.
+- Support the use case of **Retrieval Augmented Generation (RAG)** for enriched response generation.
 - **Generation speeds increased by tenfold**, thanks to the addition of 10,000 frequently used Thai words to the model's dictionary.
-- Built upon a foundation of **more than 65 billion Thai language words** and meticulously fine-tuned with over 1 million Thai instruction examples.
+- Pretrained upon a foundation of **more than 65 billion Thai language words** and meticulously fine-tuned with over 1 million Thai instruction examples.
 - Capable of understanding and processing **input contexts of up to 4096 Thai words**, allowing for detailed and complex instructions.
 
 ## Benchmark by OpenThaiGPT Eval
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 | **ONET M3**                | 17.85%                | 38.86%                 | <b style="color:blue">34.11%</b>                  | 39.36%                   | 56.15%                   | 15.58%           | 23.92%           | 21.79%         | 19.56%            | 21.37%             | 28.03%                     | 37.91%     | 49.97%   | 55.99%         | 57.41%         | 52.73%             | 40.60%              | 63.87%            |
 | **ONET M6**                | 21.14%                | 28.87%                 | <b style="color:blue">22.53%</b>                  | 23.32%                   | 42.85%                   | 15.09%           | 19.48%           | 16.96%         | 20.67%            | 28.64%             | 27.46%                     | 34.44%     | 46.29%   | 45.53%         | 50.23%         | 34.79%             | 38.49%              | 48.56%            |
 | **AVERAGE SCORE**          | 23.83%                | 37.27%                 | <b style="color:blue;font-size:1.3em">38.40%</b>                  | 40.33%                   | 55.87%                   | 18.06%           | 33.56%           | 27.44%         | 23.75%            | 37.28%             | 37.67%                     | 43.07%     | 60.68%   | 52.30%         | 52.89%         | 50.65%             | 56.81%              | 68.32%            |
-Thai language multiple choice exams, Test on unseen test set, Zero-shot learning. Benchmark source code and exams information: https://github.com/OpenThaiGPT/openthaigpt_eval
+Thai language multiple choice exams, Test on unseen test sets, Zero-shot learning. Benchmark source code and exams information: https://github.com/OpenThaiGPT/openthaigpt_eval
 
 (Updated on: 7 April 2024)