improve Structured Output chapter. clean ToC

README.md

@@ -18,16 +18,15 @@ By understanding these pitfalls upfront, readers will be better equipped to buil
 |-------------------------------------------|--------------|---------------|----------------------|
 | Preface                   | [html](https://www.souzatharsis.com/tamingLLMs/markdown/preface.html) | N/A           | *Ready for Review*                   |
 | About the Book                  | [html](https://www.souzatharsis.com/tamingLLMs/markdown/intro.html) | N/A           | *Ready for Review*                   |
-| Chapter 1: Wrestling with Structured Output| [html](https://www.souzatharsis.com/tamingLLMs/notebooks/structured_output.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/structured_output.ipynb) | *Ready for Review*     |
-| Chapter 2: The Input Data Challenge      |              |               |                  |
-| Chapter 3: Output Size Limitations       | [html](https://www.souzatharsis.com/tamingLLMs/notebooks/output_size_limit.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/output_size_limit.ipynb) | WIP   |
-| Chapter 4: The Evals Gap                 | [html](https://www.souzatharsis.com/tamingLLMs/notebooks/evals.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/evals.ipynb) | *Ready for Review*     |
-| Chapter 5: Safety Concerns               | [html](https://www.souzatharsis.com/tamingLLMs/notebooks/safety.html)  |  [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/safety.ipynb) | *Ready for Review*     |
-| Chapter 6: Preference-Based Alignment     | [html](https://www.souzatharsis.com/tamingLLMs/notebooks/alignment.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/alignment.ipynb) | *Ready for Review*     |
-| Chapter 7: Local LLMs in Practice |   [html](https://www.souzatharsis.com/tamingLLMs/notebooks/local.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/local.ipynb) | *Ready for Review*     |
-| Chapter 8: The Cost Factor                |              |               |                 |
-| Chapter 9: Frontiers                |              |               |     WIP            |
-| Appendix A: Tools and Resources           |              |               |                |
+| Chapter 1: The Evals Gap                 | [html](https://www.souzatharsis.com/tamingLLMs/notebooks/evals.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/evals.ipynb) | *Ready for Review*     |
+| Chapter 2: Managing Input Data |              |               |                      |
+| Chapter 3: Structured Output| [html](https://www.souzatharsis.com/tamingLLMs/notebooks/structured_output.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/structured_output.ipynb) | *Ready for Review*     |
+| Chapter 4: Safety              | [html](https://www.souzatharsis.com/tamingLLMs/notebooks/safety.html)  |  [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/safety.ipynb) | *Ready for Review*     |
+| Chapter 5: Preference-Based Alignment     | [html](https://www.souzatharsis.com/tamingLLMs/notebooks/alignment.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/alignment.ipynb) | *Ready for Review*     |
+| Chapter 6: Local LLMs in Practice |   [html](https://www.souzatharsis.com/tamingLLMs/notebooks/local.html) | [ipynb](https://github.com/souzatharsis/tamingLLMs/blob/master/tamingllms/notebooks/local.ipynb) | *Ready for Review*     |
+| Chapter 7: The Cost Factor                |              |               |                      |
+| Chapter 8: Frontiers                |              |               |     WIP            |
+| Appendix A: Tools and Resources           |              |               |                      |
 
 
 ## Citation

tamingllms/_build/html/_sources/markdown/toc.md

@@ -20,23 +20,21 @@ Abstract: *The current discourse around Large Language Models (LLMs) tends to fo
 
 ## [About the Book](https://www.souzatharsis.com/tamingLLMs/markdown/intro.html)
 
-## [Chapter 1: Wrestling with Structured Output](https://www.souzatharsis.com/tamingLLMs/notebooks/structured_output.html)
+## [Chapter 1: The Evals Gap](https://www.souzatharsis.com/tamingLLMs/notebooks/evals.html)
 
-## Chapter 2: Input Data Challenge
+## Chapter 2: Managing Input Data
 
-## [Chapter 3: Output Size and Length Limitations](https://www.souzatharsis.com/tamingLLMs/notebooks/output_size_limit.html)
+## [Chapter 3: Structured Output](https://www.souzatharsis.com/tamingLLMs/notebooks/structured_output.html)
 
-## [Chapter 4: The Evals Gap](https://www.souzatharsis.com/tamingLLMs/notebooks/evals.html)
+## [Chapter 4: Safety](https://www.souzatharsis.com/tamingLLMs/notebooks/safety.html)
 
-## [Chapter 5: Safety Concerns](https://www.souzatharsis.com/tamingLLMs/notebooks/safety.html)
+## [Chapter 5: Preference-Based Alignment](https://www.souzatharsis.com/tamingLLMs/notebooks/alignment.html)
 
-## [Chapter 6: Preference-based Alignment](https://www.souzatharsis.com/tamingLLMs/notebooks/alignment.html)
+## [Chapter 6: Local LLMs in Practice](https://www.souzatharsis.com/tamingLLMs/notebooks/local.html)
 
-## [Chapter 7: Local LLMs in Practice](https://www.souzatharsis.com/tamingLLMs/notebooks/local.html)
+## Chapter 7: The Cost Factor
 
-## Chapter 8: The Cost Factor
-
-## Chapter 9: Frontiers
+## Chapter 8: Frontiers
 
 ## Appendix A: Tools and Resources
 

tamingllms/_build/html/_sources/notebooks/local.ipynb

@@ -144,7 +144,7 @@
     "\n",
     "- **Multi-modal Capabilities**: Some applications fundamentally require multi-modal processing. A medical diagnosis assistant analyzing both patient records and X-ray images would be impossible to implement with a text-only model, necessitating a multi-modal model that can process both text and images coherently.\n",
     "\n",
-    "- **Output Token Length**: The model's capacity to generate longer responses affects its suitability for content generation tasks. A model excelling at concise responses may struggle with long-form content creation like technical documentation or detailed analysis reports. See Chapter {ref}`output_size` for more details.\n"
+    "- **Output Token Length**: The model's capacity to generate longer responses affects its suitability for content generation tasks. A model excelling at concise responses may struggle with long-form content creation like technical documentation or detailed analysis reports.\n"
    ]
   },
   {