Merge branch 'dev'

README.md

@@ -12,12 +12,12 @@
 <a href="https://github.com/harvard-edge/cs249r_book"><img src="https://github.com/harvard-edge/cs249r_book/actions/workflows/markdown_linter.yml/badge.svg" alt="Markdown Linter Status Badge"/></a>
 </p>
 
-Welcome to the collaborative book repository for students of CS249r: Tiny Machine Learning at Harvard! This repository
+Welcome to the collaborative book repository for students of CS249r at Harvard! This repository
 contains the source files of chapters and sections written by your peers. We're excited to see your contributions!
 
 ## Contributing
 
-To contribute to the repository please see the [contribution guidelines](contribute.md).
+To contribute to the repository, please see the [contribution guidelines](contribute.md).
 
 ---
 
@@ -29,13 +29,13 @@ into `gh-pages`.
 You can view the book's website
 at: [https://harvard-edge.github.io/cs249r_book/](https://harvard-edge.github.io/cs249r_book/)
 
-The most recent changes are staged at: [https://harvard-edge.github.io/cs249r_book_dev/](https://harvard-edge.github.io/cs249r_book_dev/)
+The most recent changes are staged at [https://harvard-edge.github.io/cs249r_book_dev/](https://harvard-edge.github.io/cs249r_book_dev/)
 
 ---
 
 ## Local Rendering
 
-You need to have `quarto` installed for local rendering of the book. Please follow the [Quarto installation instructions here](https://quarto.org/docs/download/).
+You need to have `quarto` installed for local book rendering. Please follow the [Quarto installation instructions here](https://quarto.org/docs/download/).
 
 Once that's done, the following command can be
 used to produce the HTML pages:

index.qmd

@@ -1,49 +1,39 @@
----
-comments: false
----
-
-```{=html}
-<iframe src="github-button.html"></iframe>
-```
-
 # Preface {.unnumbered}
 
-Welcome to {{< var title.long >}}. This book is your gateway to the fast-paced world of AI systems through the lens of embedded systems. It is an extension of the course TinyML from [CS249r](https://sites.google.com/g.harvard.edu/cs249-tinyml-2023) at Harvard University.
+Welcome to {{< var title.long >}}. This book is your gateway to the fast-paced world of AI systems. It is an extension of the course [CS249r](https://sites.google.com/g.harvard.edu/cs249-tinyml-2023) at Harvard University.
 
-We aim to make this open-source book a collaborative effort that brings together insights from students, professionals, and the broader community of applied machine learning practitioners. We want to create a one-stop guide that dives deep into the nuts and bolts of AI systems and their many uses.
+We aim to make this open-source book a collaborative effort that brings together insights from students, professionals, and the broader community of AI practitioners. We want to create a one-stop guide that dives deep into the nuts and bolts of AI systems and their many applications.
 
 > "If you want to go fast, go alone. If you want to go far, go together."
 > -- African Proverb
 
-This isn't just a static textbook; it's a living, breathing document. We're making it open-source and continually updated to meet the ever-changing needs of this dynamic field. Expect a rich blend of expert knowledge that guides you through the complex interplay between cutting-edge algorithms and the foundational principles that make them work. We're setting the stage for the next big leap in tech innovation.
+This isn't a static textbook; it's a living, breathing document. We're making it open-source and continuously updated to meet the ever-changing needs of this dynamic field. Expect a rich blend of expert knowledge that guides you through the complex interplay between cutting-edge algorithms and the foundational principles that make them work. We're setting the stage for the next big leap in AI innovation.
 
 # Why We Wrote This Book
 
-We're in an age where technology is always evolving. Open collaboration and sharing knowledge are the building blocks of true innovation. That's the spirit behind {{< var title.long >}}. We go beyond the traditional textbook model to create a living knowledge hub. 
+We're in an age where technology is always evolving. Open collaboration and sharing knowledge are the building blocks of true innovation. That's the spirit behind this effort. We go beyond the traditional textbook model to create a living knowledge hub, so that we can all share and learn from one another.
 
-The book covers principles, algorithms, and real-world application case studies, aiming to give you a deep understanding that will help you navigate the ever-changing landscape of embedded AI. By keeping it open, we're not just making learning accessible but inviting new ideas and ongoing improvements. In short, we're building a community where knowledge is free to grow and light the way forward in global embedded AI tech.
+The book focuses on AI systems' principles and case studies, aiming to give you a deep understanding that will help you navigate the ever-changing landscape of AI systems. By keeping it open, we're not just making learning accessible but inviting new ideas and ongoing improvements. In short, we're building a community where knowledge is free to grow and light the way forward in global AI technology.
 
 # What You'll Need to Know
 
-To dive into this book, you don't need to be a machine learning whiz. All you need is a basic understanding of systems and a curiosity to explore how embedded hardware, AI, and software come together. This is where innovation happens, and a basic grasp of how systems work will be your compass.
-
-We're also focusing on the exciting overlaps between these fields, aiming to create a learning environment where traditional boundaries fade away, making room for a more holistic, integrated view of modern tech. Your interest in embedded AI and low-level software will guide you through a rich and rewarding learning experience.
+To dive into this book, you don't need to be an AI expert. All you need is a basic understanding of computer science concepts and a curiosity to explore how AI systems work. This is where innovation happens, and a basic grasp of programming and data structures will be your compass.
 
 # Book Conventions
 
 For details on the conventions used in this book, check out the [Conventions](./contents/conventions.qmd) section.
 
-# Want to Help Out?
+# Content Transparency Statement
 
-If you're interested in contributing, you can find the guidelines [here](https://github.com/harvard-edge/cs249r_book/blob/dev/contribute.md).
+This book is a community-driven project, with content generated collaboratively by numerous contributors over time. The content creation process may have involved various editing tools, including generative AI technology. As the main author, editor, and curator, Prof. Vijay Janapa Reddi maintains human oversight and editorial oversight to make sure the content is accurate and relevant. However, no one is perfect, so inaccuracies may still exist. We highly value your feedback and encourage you to provide corrections or suggestions. This collaborative approach is crucial for enhancing and maintaining the quality of the content contained within and making high-quality information globally accessible.
 
-# Content Transparency Statement
+# Want to Help Out?
 
-This book is a community-driven project, with content generated collaboratively by numerous contributors over time. The content creation process may have involved various editing tools, including generative AI technology. As the main author, editor, and curator, Prof. Vijay Janapa Reddi maintains human oversight and editorial control to ensure the accuracy and relevance of the content. However, inaccuracies may still occur. We highly value your feedback and encourage you to provide corrections or suggestions. This collaborative approach is crucial for enhancing and maintaining the quality of the content contained within and making high-quality information globally accessible.
+If you're interested in contributing, you can find the guidelines [here](https://github.com/harvard-edge/cs249r_book/blob/dev/contribute.md).
 
 # Get in Touch
 
-Have you got questions or feedback? Feel free to [e-mail Prof. Vijay Janapa Reddi]({{< var email.info >}}) directly, or you are welcome to [start a discussion thread](https://github.com/harvard-edge/cs249r_book/discussions) on GitHub.
+Do you have questions or feedback? Feel free to [e-mail Prof. Vijay Janapa Reddi]({{< var email.info >}}) directly, or you are welcome to [start a discussion thread](https://github.com/harvard-edge/cs249r_book/discussions) on GitHub.
 
 # Contributors