update to README

README.md

@@ -11,8 +11,10 @@ Minimum installation.
 ```bash
 pip install prompt-declaration-language
 ```
+See [here](https://ibm.github.io/prompt-declaration-language/tutorial/#using-ollama-models) for 
+instructions on how to install an Ollama model locally.
 
-you can create a PDL file (YAML format):
+You can create a PDL file (YAML format):
 
 ```yaml
 description: Simple LLM interaction
@@ -159,40 +161,19 @@ text:
 
 ## Debugging Tools
 
-### Trace Generation
-```bash
-pdl --trace <file.json> <my-example.pdl> 
-```
-
 ### Log Inspection
 ```bash
 pdl --log <my-logfile> <my-example.pdl>
 ```
 
-### Live Document Visualization
-Upload trace files to the [Live Document Viewer](https://ibm.github.io/prompt-declaration-language/viewer/) for visual debugging.
-
-## Best Practices
+### Trace Generation and Live Document Visualization
 
-1. **Template Organization**:
-   - Keep templates modular and reusable
-   - Use variables for dynamic content
-   - Document template purpose and requirements
-
-2. **Error Handling**:
-   - Validate model inputs/outputs
-   - Include fallback logic
-   - Log intermediate results
+```bash
+pdl --trace <file.json> <my-example.pdl> 
+```
 
-3. **Performance**:
-   - Cache frequent LLM calls
-   - Use appropriate temperature settings
-   - Implement retry logic for API calls
+Upload trace files to the [Live Document Viewer](https://ibm.github.io/prompt-declaration-language/viewer/) for visual debugging.
 
-4. **Security**:
-   - Enabling sandbox mode for untrusted code
-   - Validate all inputs
-   - Follow API key best practices
 
 ## Contributing
 

docs/README.md

@@ -438,6 +438,28 @@ in the right pane.
 
 This is similar to a spreadsheet for tabular data, where data is in the forefront and the user can inspect the formula that generates the data in each cell. In the Live Document, cells are not uniform but can take arbitrary extents. Clicking on them similarly reveals the part of the code that produced them.
 
+## Best Practices
+
+1. **Template Organization**:
+   - Keep templates modular and reusable
+   - Use variables for dynamic content
+   - Document template purpose and requirements
+
+2. **Error Handling**:
+   - Validate model inputs/outputs
+   - Include fallback logic
+   - Log intermediate results
+
+3. **Performance**:
+   - Cache frequent LLM calls
+   - Use appropriate temperature settings
+   - Implement retry logic for API calls
+
+4. **Security**:
+   - Enabling sandbox mode for untrusted code
+   - Validate all inputs
+   - Follow API key best practices
+
 
 ## Additional Notes