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Description
To the Point by Mark Lemon - BookTo the Point is the famous tossed out deck in book form but unlike the tossed out deck, it can also be done close up, one on one. To the Point is: Easy to learn It's fast It's simple to perform It feels normal It allows for unlimited hits It can fit in your pocket It can be performed on any number of people including 1 on 1 and most importantly, it cannot go wrong. What made us create this? We love the tossed out deck, but for mentalism, it falls down
To the Point is the famous tossed out deck in book form - but unlike the tossed out deck, it can also be done close-up, one-on-one.To the Point is:
- Easy to learn
- It's fast
- It's simple to perform
- It feels normal
- It allows for unlimited hits
- It can fit in your pocket
- It can be performed on any number of people - including 1 on 1
- ... and most importantly, it cannot go wrong.
We love the tossed-out deck, but for mentalism, it falls down in 2 major areas:
#1.
The original tossed-out deck can only be performed on a group of people. But we've designed 'To the Point' to allow you to perform 1 on 1 - as well as on any number of random people from your audience. With no pre-show.
This makes 'to the point' more versatile. You can perform it casually at home, 1 on 1 or use it in your next parlour or stage event.
And #2.
Playing cards wrapped in a rubber band just feels like a prop.
BUT mentalism thrives on normal objects. Phones. Notepads. Coins - and especially books.
Even if you use a normal deck, some of your audience will still associate playing cards with magic - which takes away from your presentation.
But a book is normal - and is believed to have no special ability whatsoever.
Throwing a book into your audience, especially one they think they've seen in the real world, or can find on Amazon - is natural. It avoids suspicion.
That means your demonstrations are heightened - and feel more real.
A less suspicious prop...
'To the Point' is designed to replicate the famous POINT IT books. These books are used all over the world as a picture dictionary for travellers. They don't have to learn the language - they just point at the image to ask for help.
Google 'point book' and the real thing will come up. So even if your audience goes home and tries to backtrack the effect. They won't find anything.
We also include a completely ungimmicked book that you can bring into play and hand out for examination.
If you're a professional mentalist, you'll find that 'To the Point' fits perfectly into your existing repertoire - without any presentation tweaks.
If you're a beginner or want to dip your toe into mentalism, To the Point is a great place to start.
It can't fail - and because of the way it's gimmicked, your audience will have a seemingly fair choice - from any page in the entire book - and you'll nail it every single time.
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4.4 ★★★★★
Based on 7 reviews
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Product Reviews
★★★★★ 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
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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.
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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!
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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.
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Reviewed in the United States on November 14, 2025
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
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