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Description
Stahlwille 3-Arm Puller, 4, 22mm - ST 71030004Stahlwille 3 Arm Puller, 4, 22mm ST 71030004 The 3 Arm Puller is a robust and efficient tool designed for the safe and precise removal of gears, bearings, pulleys, and other press fitted components. Featuring three evenly spaced arms, it provides superior stability and a secure grip, ensuring balanced force distribution to prevent damage to components. Constructed from high quality, durable materials, this puller offers exceptional strength and
Stahlwille 3-Arm Puller, 4, 22mm - ST 71030004
The 3-Arm Puller is a robust and efficient tool designed for the safe and precise removal of gears, bearings, pulleys, and other press-fitted components. Featuring three evenly spaced arms, it provides superior stability and a secure grip, ensuring balanced force distribution to prevent damage to components. Constructed from high-quality, durable materials, this puller offers exceptional strength and longevity for heavy-duty applications. Its adjustable design accommodates various sizes, making it a versatile choice for automotive, industrial, and maintenance tasks.
Features:
- For quick and reliable removal of gears, ball bearings, fan belts and for extracting the outer rings of ball bearings and bushings from drilled holes
- Even load distribution over 3 extractor hooks provides a secure hold and centered extraction
- The adjustable extractor hooks make for universal use as both an external or internal extractor possible
- Accurate profile ribs and precise guide rails give the crosshead outstanding bending rigidity
- The nitride surface of the pressure spindle provides excellent sliding properties and requires no additional oiling
- Three-armed
- Reversible hooks for use as external and internal pullers
- For removing gears, ball bearings, pulleys and similar parts from a shaft or axle
- For removing ball bearings, ball bearing outer rings and bushes from bores
- Nitride spindle, no oiling necessary, maintenance-free
- Sturdy design, galvanized
- Flexible repositioning function - A three-legged puller is generally preferable to a two-legged one provided there is sufficient space because it distributes the pulling forces more evenly
- Reliable sliding properties - The high-quality tempered and specially coated pressure spindle has particularly good sliding properties in the thread, is maintenance-free and does not require oiling
- Adapted access geometry - Heavy-duty puller hooks made of oil-hardened Chrome Alloy Steel with special access geometry for tight spaces. Custom radii for shafts and axes
- Sturdy design - High bending rigidity thanks to cross members with precisely calculated profile ribs and milled, smooth guideways
- Protection against damage - The centering tip is freely rotating - to protect the shafts from damage
- For increased safety - Thoughtfully designed, die-forged and precisely machined, hardened and tempered on state-of-the-art machines - the STAHLWILLE puller range offers numerous products for a wide range of applications. For example, terminal pullers, pullers for ball joints, counter stays or ball joint extractors - always in premium quality
Specifications:
- Clamping Depth: 150mm
- Maximum External Clamping Width: 200mm
- External Hexagon Drive: 22mm
- Maximum Internal Span: 260mm
- Minimum Internal Span: 100mm
- Number of Hook: 3
- Output Size: 4
- Spindle Thread Size: G 1/2 x 210
- Maximum Load: 5 t
- Overall Weight: 9.26 lbs
Product Dimension (Refer Image):
- Hook Base Tip Thickness (a): 4mm
- Hook Base Width (b): 30mm
- Hook Base Depth (c): 18mm
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4.0 ★★★★★
Based on 16 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