update intro

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

@@ -62,10 +62,11 @@ The current discourse around LLMs tends toward extremes—either uncritical enth
 
 ## Who This Book Is For
 
-This book is designed for:
+This book is inteded to Software Developers taking their first steps with Large Language Models. It provides critical insights into the practical challenges of LLM implementation, along with guidance on leveraging open source tools and frameworks to avoid common pitfalls that could derail projects. The goal is to help developers understand and address these challenges early, before they become costly problems too late in the software development lifecycle. 
 
-- Software Engineers building LLM-powered applications
-- Product Managers leading AI initiatives
+A broader audience for this book includes:
+
+- Technical Product Managers leading AI initiatives
 - Technical Leaders making architectural decisions
 - Anyone seeking to understand the practical challenges of working with LLMs
 

tamingllms/_build/html/markdown/intro.html

@@ -262,10 +262,10 @@ <h2><a class="toc-backref" href="#id4" role="doc-backlink"><span class="section-
 </section>
 <section id="who-this-book-is-for">
 <h2><a class="toc-backref" href="#id5" role="doc-backlink"><span class="section-number">1.4. </span>Who This Book Is For</a><a class="headerlink" href="#who-this-book-is-for" title="Permalink to this heading">¶</a></h2>
-<p>This book is designed for:</p>
+<p>This book is inteded to Software Developers taking their first steps with Large Language Models. It provides critical insights into the practical challenges of LLM implementation, along with guidance on leveraging open source tools and frameworks to avoid common pitfalls that could derail projects. The goal is to help developers understand and address these challenges early, before they become costly problems too late in the software development lifecycle.</p>
+<p>A broader audience for this book includes:</p>
 <ul class="simple">
-<li><p>Software Engineers building LLM-powered applications</p></li>
-<li><p>Product Managers leading AI initiatives</p></li>
+<li><p>Technical Product Managers leading AI initiatives</p></li>
 <li><p>Technical Leaders making architectural decisions</p></li>
 <li><p>Anyone seeking to understand the practical challenges of working with LLMs</p></li>
 </ul>

tamingllms/_build/jupyter_execute/markdown/intro.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "91e6d8fd",
+   "id": "7ccaec6d",
    "metadata": {},
    "source": [
     "(intro)=\n",
@@ -58,10 +58,11 @@
     "\n",
     "## Who This Book Is For\n",
     "\n",
-    "This book is designed for:\n",
+    "This book is inteded to Software Developers taking their first steps with Large Language Models. It provides critical insights into the practical challenges of LLM implementation, along with guidance on leveraging open source tools and frameworks to avoid common pitfalls that could derail projects. The goal is to help developers understand and address these challenges early, before they become costly problems too late in the software development lifecycle. \n",
     "\n",
-    "- Software Engineers building LLM-powered applications\n",
-    "- Product Managers leading AI initiatives\n",
+    "A broader audience for this book includes:\n",
+    "\n",
+    "- Technical Product Managers leading AI initiatives\n",
     "- Technical Leaders making architectural decisions\n",
     "- Anyone seeking to understand the practical challenges of working with LLMs\n",
     "\n",

tamingllms/markdown/intro.md

@@ -62,10 +62,11 @@ The current discourse around LLMs tends toward extremes—either uncritical enth
 
 ## Who This Book Is For
 
-This book is designed for:
+This book is inteded to Software Developers taking their first steps with Large Language Models. It provides critical insights into the practical challenges of LLM implementation, along with guidance on leveraging open source tools and frameworks to avoid common pitfalls that could derail projects. The goal is to help developers understand and address these challenges early, before they become costly problems too late in the software development lifecycle. 
 
-- Software Engineers building LLM-powered applications
-- Product Managers leading AI initiatives
+A broader audience for this book includes:
+
+- Technical Product Managers leading AI initiatives
 - Technical Leaders making architectural decisions
 - Anyone seeking to understand the practical challenges of working with LLMs