SKU: 48997598040

Magical Artistry of Petrick and Mia Vol. 3 by L & L Publishing - DVD

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Magical Artistry of Petrick and Mia Vol. 3 by L & L Publishing - DVDPetrick & Mia have cast their magic spell over audiences the world over from the showrooms of Las Vegas to the most prestigious stages in Europe. Winners of many of magic's most celebrated awards, including the Dragon Award, FISM Special Award of Merit and the Academy of Magical Arts Award, Petrick & Mia's special blend of magic, comedy, modern wizardry and originality have enchanted and amazed audiences for over 20 years. In this stimulating video

Petrick & Mia have cast their magic spell over audiences the world over-from the showrooms of Las Vegas to the most prestigious stages in Europe. Winners of many of magic's most celebrated awards, including the Dragon Award, FISM Special Award of Merit and the Academy of Magical Arts Award, Petrick & Mia's special blend of magic, comedy, modern wizardry and originality have enchanted and amazed audiences for over 20 years. In this stimulating video series, Petrick & Mia perform their original magic creations for an enthusiastic audience and then take you backstage to meticulously explain the devilish and innovative workings of it all. You'll marvel at the impact of Petrick & Mia's magic and then you'll be thrilled at how clever the thinking behind it all is and how simple it is to add these miracles to your own act. Whether you do stage, parlour or close-up work, you'll love the magical artistry that is Petrick & Mia.

Volume three

On this volume, Petrick & Mia perform and teach strong, commercial magic perfect for parlour or small platform shows.

Content Includes:

Card in the Wallet - The fairest looking version of this timeless classic - ever! A signed card travels into the confines of the performer's wallet, which is retrieved from the pocket with absolutely empty hands.

Laser Card - A high-tech card discovery! A laser pointer burns a hole in a selected card even though it's in the middle of a cased pack.

Coin Through Sheer Silk - Simple and elegant. A large coin visibly penetrates the center of a sheer scarf.

Woo-Doo Card - A selected card is bent by a spectator and one at a time, its three mates in the deck are found bent as if in sympathy.

Trapdoor Card in Glass - A signed card, secured in a rubber-banded case, escapes in a most mysterious fashion.

Ring on the Rose - A borrowed finger ring is vanished in a flash of fire and reappears in another flash on the stem of a rose.

Bang Card - A card revelation is combined with a classic comedy gag to produce a solid piece of magical entertainment.

Ace on the Edge - The image of a selected card appears magically inscribed on the edges of a beveled deck.

Credit Card in the Wallet - A borrowed credit card, shredded to pieces, is found restored in a zippered compartment in the performer's wallet.

Likes Attract - It begins as a silly experiment as a jumbo card is selected from a normal sized deck. Things get serious, however, as the jumbo card is freely inserted back into the deck and ends up next to its match.

Quickest Color-Changing Card - After a series of serious and not-so-serious shuffles, the indifferent face card changes into the spectator's selection instantaneously.

Vanishing Banknote - A borrowed bill visibly disappears at the performer's fingertips.

Vanishing Queen - A spectator selects a Queen and the performer causes it to vanish. The card is still there - just the Queen disappears and ends up in the performer's pocket.
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SKU: 48997598040

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Nader
Grantham, US
★★★★★ 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
N
noam barkay
Omaha, US
★★★★★ 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
R
Ryan Meyer
Houston, US
★★★★★ 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
V
Vineeth Sai
Belleville, US
★★★★★ 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
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CL
West Palm Beach, US
★★★★★ 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

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