official yugioh cards Yugioh Orica
SKU: 49803165733
official yugioh cards

official yugioh cards Yugioh Orica

Sale price$26.29 Regular price$29.21
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Description

official yugioh cards Yugioh OricaThis series includes all the cards you see in the pictures (You can check a full cardlist as well. lt contains also the bonus cards J1 J2 J3. The Backing of the cards will be the classic Bandai style showed in the picture. These cards cannot be played in official tournaments and have the only purpose to be collectibles, or they can be used as tokens. The size is exactly as the official cards, common rarity. Every card will have its own sleeve, and

This series includes all the cards you see in the pictures (You can check a full cardlist as well.
lt contains also the bonus cards J1 - J2 - J3.
The Backing of the cards will be the classic Bandai style showed in the picture.

These cards cannot be played in official tournaments and have the only purpose to be collectibles, or they can be used as tokens.
The size is exactly as the official cards, common rarity.
Every card will have its own sleeve, and they will be shipped in a bubble envelope to avoid damages.

Shipping is from Italy

Cardlist:

1       Yugi Muto

2       Yami Yugi

3       Joey Wheeler

4       Seto Kaiba

5       Tristan Taylor

6       Téa Gardner

7       Melody

8       Shadi

9       Blue-Eyes White Dragon

10     Red-Eyes Black Dragon

11     Gaia The Fierce Knight

12     Curse of Dragon

13     Gaia the Dragon Champion

14     Dark Magician

15     Thousand Dragon

16     Basic Insect

17     Armored Basic Insect with Laser Cannon

18     Harpie Lady 1

19     Megazowler

20     Two-Headed King Rex

21     Summoned Skull

22     Aphrodite

23     Winged Dragon, Guardian of the Fortress #1

24     Blackland Fire Dragon

25     Dragon Capture Jar

26     Judge Man

27     Celtic Guardian

28     Baby Dragon

29     Silver Fang

30     Saggi the Dark Clown

31     Rogue Doll

32     Larvae Moth

33     Great Moth

34     Beaver Warrior

35     Mystical Elf

36     Flame Swordsman

37     King of Yamimakai

38     Exodia the Forbidden One

39     Right Leg of the Forbidden One

40     Right Arm of the Forbidden One

41     Left Leg of the Forbidden One

42     Left Arm of the Forbidden One

43     Labyrinth Tank

44     Sanga of the Thunder

45     Kazejin

46     Suijin

47     Time Wizard

48     Polymerization

49     Black Skull Dragon

50     Kunai with Chain

51     Horn of the Unicorn

52     Cyber Shield

53     Elegant Egotist

54     Pumpking the King of Ghosts

55     Gyakutenno Megami

56     Catapult Turtle

57     Kairyu-Shin

58     Metal Guardian

59     Giant Soldier of Stone

60     Axe Raider

61     Battle Ox

62     Swamp Battleguard

63     Garoozis

64     Shadow Ghoul

65     Dragon Zombie

66     Sword Arm of Dragon

67     Crawling Dragon #2

68     Feral Imp

69     Hercules Beetle

70     Kojikocy

71     Fiend Kraken

72     Jellyfish

73     Armored Lizard

74     Battle Steer

75     Mammoth Graveyard

76     Barox

77     Harpie Lady 2

78     Harpie Lady 3

79     Battle Warrior

80     Armored Zombie

81     Torike

82     Killer Needle

83     Clown Zombie

84     Dragon Piper

85     Tiger Axe

86     Horn Imp

87     Wattkid

88     Monster Reborn

89     Ryu-Kishin

90     Skull Servant

91     Megamorph

92     Mushroom Man

93     Hitotsu-Me Giant

94     The Wicked Worm Beast

95     Dark Energy

96     Golden Pegasus

97     King Rex

98     Yellow Hecate

99     Red Hecate

100  Violet Hecate

101  Gorgon

102  King Beetle

103  Rock-Gun

104  Night Soldier

105  Neon Knight

106  Chimera

107  Koumori Dragon

108  Dark Zora

109  Magical Hats

110  Spellbinding Circle

111  Meteor Dragon

112  Dragonic Pulse of the Land

113  Meteor Black Dragon

114/117  Blue-Eyes White Dragon's 3-Body Connection (Entire + 4 Pieces)

118  Blue-Eyes White Dragon

J1 Mirror Force

J2 Swords of Revealing Light

J3 Gate Guardian

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SKU: 49803165733

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4.5 ★★★★★
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N
Nader
Massapequa, 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
Waukegan, 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
Louisville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Bozeman, 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
C
Verified Purchase
CL
New York, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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