SKU: 70349953646

1 Berth SMALL Titan Dog Show Trolley

$245.25 $272.50
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Ships within 48 hours · Estimated delivery Aug 6 - Aug 11

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Description

1 Berth SMALL Titan Dog Show Trolley1 Berth SMALL Titan Dog Show Trolley Crate Size: L24" x W21" x H24 Compartment Size: L23 x W20 x H25 Overall Trolley Size: L24" x W22" x H35 Crate Size: L61cm x W53cm x H60cm Compartment Size: L57cm x W50cm x H57cm Overall Trolley Size: L61cm x W56cm x H89cm Models shown Traditional Silver, Titanium & Flame Red Delivery time on this Titan 6 weeks If you would like to get your Titan trolley 1 colour or dual anodised please click HERE. Titan Show

1 Berth SMALL Titan Dog Show Trolley

  • Crate Size: L24" x W21" x H24”
  • Compartment Size: L23” x W20” x H25”
  • Overall Trolley Size: L24" x W22" x H35”
  • Crate Size: L61cm x W53cm x H60cm
  • Compartment Size: L57cm x W50cm x H57cm
  • Overall Trolley Size: L61cm x W56cm x H89cm

Models shown - Traditional Silver, Titanium & Flame Red

Delivery time on this Titan 6 weeks

If you would like to get your Titan trolley 1 colour or dual anodised please click - HERE.

    Titan Show Trolley Features

    •         All doors are fully lockable for extra safety.
    •         8" (200mm) Titan All Terrain puncture proof UK made tyre
    •         Overall trolley weight 21kg.
    •         Top surface allows for easy grooming.
    •         Easy to clean, shatter-proof roof, base & dividers.
    •         Removable soft grip chunky handles.
    •         Grooming arm port
    •         Support struts to hold fan and bowls
    •         Strong, sturdy trolley design will handle any terrain.
    •         Handmade in the UK to evergreen standards for 10 years
    •         Fully collapsible, fits into any vehicle.
    •         All Titans feature detachable wheelbase for versatility
    •         5 Year Warranty

      Our Small 1 berth Titan Dog Show Trolley is Titans smallest trolley, however this does stop it from being one of our most versatile trolleys in regard to the breeds that would be using our Trolley. The Titan Small 1 berth Trolley has been designed specifically for the one dog exhibitor, however you are still easily able to fit maybe two small breeds in ultra comfort - for example two Mini Schnauzers would be just perfect inside.

      The Trolley crate size is based loosely on the very popular 24" long wire cage - as you are aware the crate size offered here will fit most small to medium sized dogs. This is including but not limited too. Bichons, Griffon, Affenpinscher, Boston, cavaliers, Chins, Italian Greyhound, Pug, Paps, Poms, Beagles, Border/Cairn/west highland Terriers and many other similar type breeds.

      Should you need any advice on trolley selection please dont hesitate to give us a call or send an email. should you require a bit more space then the Titan 1 berth medium maybe the best option. This Titan trolley can also be fitted with an optional storage shelf depending on breed height this is a great way of storing expensive grooming items safely. As with all Titan trolleys the wheels can quickly be taken off for transport and also allowing the user to use the crate section as a stand alone dog crate. The Titan 1 berth Small Dog Show Trolley comes with our fantastic 5 year warranty protecting you fully against any fault. No other dog show trolley maker offers this.

      Colour Anodizing - as of May June 2018 the Colour Anodizing available are as follows. Midnight Black, Titanium, Gunmetal Grey, Rusted Bronze, Hunter Green, Electric Meadow, Candy Apple, Lime Green, Gold, Burnt Orange, Flame Red, Shocking Pink, Pacific Blue, Lagoon Blue & of course our most popular Deep Violet.

      Please remember that Anodized Aluminium does not react to Dog Urine on a Titan Trolley the same way cheaper powder coated trolleys do. if you require pictures of any colour please dont hesitate to email. if you require a coloured Titan Trolley then please include colour choice in message to seller box at checkout.

      Our primary form of measurement is metric (cm) (mm) however we realise that most customers will use imperial (inches). 1” = 2.54cm (25.4mm). all imperial measurements will be rounded to the nearest 0.5”

      Measuring the Titan Crate

      • When we say length (L) we refer to the trolley side where the door/doors are
      • Width (W) this refers to the measurement from handle to handle
      • Height (H) refers to the external measurements of the crate section height
      • Overall trolley Height will include the Titan crate and Titan wheel assembly
      • Overall trolley size refers to the maximum size of the trolley in its built state
      • Handles are not included in any measurement of length of trolley
      • All Titan wheel assemblies measure 10” (27cm) in height
      • All Titan crate sections will concertina to a crate width of 13cm (5.11”)

      Measuring compartment size - Applies to 2B 4B and 6B Titans only

      • Compartment size refers to the total area to house your dog/s
      • Compartment length (L) will correspond to width of the Titan Trolley chosen
      • Compartment width (W) refers to the trolley side where the doors are
      • Compartment height (H) refers to the available height in compartment
      Shipping Notes
      • Free Standard Shipping on $100+ Orders to the USA.
      • Except Preorder products are shipped in 48 hours.
      • Delivery to the USA:
      1. 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
      SKU: 70349953646

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      4.7 ★★★★★
      Based on 19 reviews
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      Product Reviews
      O
      Om S
      Dallas, US
      ★★★★★ 4
      Title: Really Good Book for Learning LLMs
      Format: Paperback, Format: Paperback
      I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on July 25, 2025
      J
      Jiewen Wang
      Los Angeles, US
      ★★★★★ 5
      a comprehensive guide at the intersection of generative AI and cybersecurity
      Format: Kindle
      This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
      WAS THIS REVIEW HELPFUL?YesReportShare
      Reviewed in the United States on July 2, 2025
      N
      Nader
      Los Angeles, 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
      West Palm Beach, 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
      Waukegan, 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

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