Update README.md

README.md

@@ -7,7 +7,7 @@ license: llama3
 ---
 **Llama-3-Typhoon-1.5X-70B-instruct: Thai Large Language Model (Instruct)**
 
-**Llama-3-Typhoon-1.5X-70B-instruct** is a 70 billion parameter instruct model designed for Thai 🇹🇭 language. It demonstrates competitive performance with GPT-4-0612, and is optimized for **production** environments, **Retrieval-Augmented Generation (RAG), constrained generation**, and **reasoning** tasks.
+**Llama-3-Typhoon-1.5X-70B-instruct** is a 70 billion parameter instruct model designed for Thai 🇹🇭 language. It demonstrates competitive performance with GPT-4-0612, and is optimized for **application** use cases, **Retrieval-Augmented Generation (RAG), constrained generation**, and **reasoning** tasks.
 
 Built on Typhoon 1.5 70B (not yet released) and Llama 3 70B Instruct. this model is a result of our experiment on **cross-lingual transfer**. It utilizes the [task-arithmetic model editing](https://arxiv.org/abs/2212.04089) technique, combining the Thai understanding capability of Typhoon with the human alignment performance of Llama 3 Instruct.
 
@@ -27,15 +27,15 @@ We evaluated the model's performance in **Language & Knowledge Capabilities** an
 - **Language & Knowledge Capabilities**:
     - Assessed using multiple-choice question-answering datasets such as ThaiExam and MMLU.
 - **Instruction Following Capabilities**:
-    - Evaluated based on our beta users' feedback, focusing on two factors:
-        - **Human Alignment & Reasoning**: Ability to generate responses that are understandable and reasoned across multiple steps.
-            - Evaluated using [MT-Bench](https://arxiv.org/abs/2306.05685) — How LLMs can answer embedded knowledge to align with human needs.
-        - **Instruction-following**: Ability to adhere to specified constraints in the instruction
+    - Evaluated based on beta users' feedback, focusing on two factors:
+        - **Human Alignment & Reasoning**: Ability to generate responses that are clear and logically structured across multiple steps.
+            - Evaluated using [MT-Bench](https://arxiv.org/abs/2306.05685) — How LLMs can align with human needs.
+        - **Instruction-following**: Ability to adhere to specified constraints in the instructions.
             - Evaluated using [IFEval](https://arxiv.org/abs/2311.07911) — How LLMs can follow specified constraints, such as formatting and brevity.
-- **Agentic** **Capabilities:**
-    - Evaluated in agent use-cases using [Hugging Face's agent implementation](https://huggingface.co/blog/agents) and the [benchmark](https://huggingface.co/blog/open-source-llms-as-agents).
+- **Agentic Capabilities**:
+    - Evaluated in agent use-cases using [Hugging Face's Transformer Agents](https://huggingface.co/blog/agents) and the associated [benchmark](https://huggingface.co/blog/open-source-llms-as-agents).
 
-Remark: We developed the TH pair by translating the original datasets into Thai and conducting a human verification on them.
+Remark: We developed the Thai (TH) pairs by translating the original datasets into Thai through machine and human methods.
 
 ### ThaiExam
 
@@ -80,7 +80,7 @@ Remark: We developed the TH pair by translating the original datasets into Thai
 
 ## Insight
 
-Utilized model editing technique. We found that the most critical feature for generating Thai answers is located in the backend (the upper layers of the transformer block). Accordingly, we incorporated a high ratio of Typhoon in these backend layers.
+We utilized **model editing** techniques and found that the most critical feature for generating accurate Thai answers is located in the backend (the upper layers of the transformer block). Accordingly, we incorporated a high ratio of Typhoon components in these backend layers to enhance our model’s performance.
 
 ## **Usage Example**
 
@@ -144,7 +144,7 @@ This model is experimental and might not be fully evaluated for all use cases. D
 
 ## **SCB 10X Typhoon Team**
 
-- Kunat Pipatanakul, Potsawee Manakul, Sittipong Sripaisarnmongkol, Pathomporn Chokchainant, Kasima Tharnpipitchai
+- Kunat Pipatanakul, Potsawee Manakul, Sittipong Sripaisarnmongkol, Natapong Nitarach, Pathomporn Chokchainant, Kasima Tharnpipitchai
 - If you find Typhoon-1.5X useful for your work, please cite it using:
 
 ```