Update README.md

README.md

@@ -12,7 +12,7 @@ YAML tags: "coming soon"
 
 ## Overview
 
-The **APEX-E3 Dec-Enc Function-Call Model (v0.011)** is a fine-tuned T5-small model specialized in generating *function call structures* from plain English queries. Rather than producing unstructured text, this model outputs instructions for specific function calls, including all relevant parameters.
+The **APEX-E3 Dec-Enc Function-Call Model (v0.011)** is a fine-tuned T5-small model specialised in generating *function call structures* from plain English queries. Rather than producing unstructured text, this model outputs instructions for specific function calls, including all relevant parameters.
 
 With a special focus on capital market use cases, it was trained on queries that map directly to functions like **`selectStocks`**, **`run_backtest`**, and **`optimizer`**, ensuring precise extraction of parameters needed for advanced trading, backtesting, and portfolio optimization workflows.
 
@@ -25,7 +25,7 @@ This solution is **lightweight**, **highly performant**, and—thanks to our **n
    - Produces direct calls to your functions with minimal overhead.
 
 2. **Private & Agentic**  
-   - Ideal for organizations seeking on-premises or private cloud solutions where data control and agentic autonomy are paramount.
+   - Ideal for organisations seeking on-premises or private cloud solutions where data control and agentic autonomy are paramount.
 
 3. **Ultra-Easy Training Approach**  
    - Using a simple Python/Flask app and structured JSON, you can re-train or extend the model on your own custom function definitions in *minutes*, no large-scale ML infrastructure required.  
@@ -40,7 +40,7 @@ This solution is **lightweight**, **highly performant**, and—thanks to our **n
 ## Model Details
 
 - **Base Model**: [T5-small](https://huggingface.co/t5-small)  
-- **Fine-Tuning**: Customized data mapping natural language to function calls, specifically in capital markets contexts.  
+- **Fine-Tuning**: Customised data mapping natural language to function calls, specifically in capital markets contexts.  
 - **Parameter Count**: ~60M  
 - **Tokenizer**: T5 SentencePiece tokenizer