Pay in installments of $21.55 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 27 - Sep 1
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Fit to CompeteNote: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled. **Condition:** BRAND NEW **ISBN:** 9781633692305 **Format:** Cloth over boards **Year:** 2020 **Publisher:** Harvard Business Review Press **Book Description:** In a rapidly changing business landscape, effective communication is crucial for any organization's success. In 'Fit to Compete,' Michael Beer draws on thirty years
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.**Condition:** BRAND NEW
**ISBN:** 9781633692305
**Format:** Cloth over boards
**Year:** 2020
**Publisher:** Harvard Business Review Press
**Book Description:**
In a rapidly changing business landscape, effective communication is crucial for any organization's success. In 'Fit to Compete,' Michael Beer draws on thirty years of experience to confront the pervasive issue of organizational silence that hinders strategic objectives. This book serves as a comprehensive guide for leaders seeking to enhance their company’s performance through candid dialogues. Employees often feel unheard, leading to distrust and resistance to change. Beer identifies this silent gap as a critical challenge that organizations must address.
He introduces the *Strategic Fitness Process*, a groundbreaking method used by over 150 organizations worldwide, from medical technology firms to restaurant chains. This proven process empowers leaders to uncover the unfiltered truths about disconnections between their strategies and the realities within their teams. Additionally, 'Fit to Compete' includes insightful case studies illustrating successful implementations of the Strategic Fitness Process across various industries.
Whether you’re a seasoned executive or a manager looking to improve your organization’s communication, this book provides step-by-step guidance and practical frameworks to navigate strategic challenges effectively. Discover how to foster an environment where honest conversations lead to lasting change and greater organizational fitness.
Note: Shipping for this item is free. Please allow up to 6 weeks for delivery. Once your order is placed, it cannot be cancelled.
Condition: BRAND NEW
ISBN: 9781633692305
Format: Cloth over boards
Year: 2020
Publisher: Harvard Business Review Press
Description:
In thirty years of working in corporations, Michael Beer has witnessed how organisational silence has derailed many a strategic objective. When lower-level employees in the organisation can't speak truth to power, senior leaders don't hear what they need to hear about their firm's fitness to compete. Employees lose trust in higher-ups and become more resistant to change.
In Fit to Compete, Beer presents an antidote to silence — an innovative and highly effective process for holding honest conversations with everyone in your organization. Used by over 150 organisations across the globe, the Strategic Fitness Process has helped leaders in industries as diverse as medical technology, restaurant chains, and pharmaceuticals hear the raw and necessary truth about the sources of misalignment between their strategies and their organisations.
In addition to a step-by-step guide, Beer offers detailed and illustrative case studies of companies that have used the Strategic Fitness Process to great effect. He also shows how to apply the process more broadly, to a variety of strategic challenges and at multiple levels throughout the organisation.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.2 ★★★★★
Based on 5 reviews
Sort
Product Reviews
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them.
Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!)
Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples).
Seems like the book was rushed, and the author has limited hands on experience (if any).
At least we know based on the amount of flaws that it was not written by an LLM
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket!
Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC.
- How to prepare your data for training by making it extremely clean.
Developing the brains: the practical aspects of training, optimizing, and maintaining your models.
- Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities.
Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise.
- It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!)
Really, this feels like a useful toolkit, so Ken thank you for that resource
Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on.
That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks.
Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025