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Description
nemo hornet 3 person tent NEMO Hornet OSMO 3P TentFor those in search of an ultralight shelter with greater volume, Hornet OSMO offers enviable living space and comfort without sacrificing its airy weight classification. Ranging in capacity from 1P to 3P, Hornet OSMO is made with the ultralight variation of Nemo's OSMO suite of fabrics, arming it with 3x less wet stretch and a level of water repellency that starts drier and stays drier than the rest. (Even better? OSMO fabrics cut out forever
For those in search of an ultralight shelter with greater volume, Hornet OSMO™ offers enviable living space and comfort without sacrificing its airy weight classification. Ranging in capacity from 1P to 3P, Hornet OSMO is made with the ultralight variation of Nemo's OSMO™ suite of fabrics, arming it with 3x less wet stretch and a level of water repellency that starts drier and stays drier than the rest. (Even better? OSMO fabrics cut out forever chemicals and extra carbon emissions along with any unnecessary weight.)
Keeping Hornet OSMO extra trim is a minimal pole structure that sets up lightning-quick and pairs with Nemo's volumizing Flybar™ and door clips to create generous internal space. Triangulated reflective guy-outs and corner struts also increase volume at the foot and protect sleeping bags from tent wall condensation. An overhead Nightlight Pocket™, Gatekeeper™ one-handed tiebacks, and rectangular Divvy Cube™ stuff sack are new additions that add ease and creature comforts, not ounces. With the new Divvy Cube, this tent packs down small enough to fit in the bottom compartment of your pack — with a sleeping bag!
Features:
- High-performance, proprietary OSMO™ poly-nylon ripstop fabric has 4x better water repellency and 3x less stretch when wet. OSMO fabric is made from 100% recycled yarns that are PFAS-free and meet flame retardancy standards without the use of added chemicals.
- Large doors and vestibules provide ample gear coverage for each person.
- Patent-pending Flybar™ volumizing pole clip adds more room at the head and distributes fly tension evenly. (3P does not include Flybar.)
- Volumizing guy-outs connect the inner tent to the rainfly, pulling the sidewalls outward to create more livable space.
- DAC Featherlite® NSL poles boast minimal weight and connect with a single hubbed intersection for lightning-quick setup.
- Single-handedly tie back the tent door with integrated Gatekeeper™ clips.
- bluesign® approved floor material meets strict ecological and chemical requirements and has been produced with a minimum impact on people and the planet.
- White no-see-um mesh at the side increases privacy, while black mesh at the top turns virtually transparent at night for clear stargazing.
- Triangulated volumizing guy-outs and struts at corners increase volume at the foot, protecting sleeping bags from tent wall condensation.
- Nightlight Pockets™ turn your headlamp into a tent lantern while removing blue light and casting an even glow.
- Divvy Cube™ rectangular stuff sack allows you to still split the weight with your partner but stows more efficiently in your pack.
- Protected by the NEMO Lifetime Warranty.
Specifications:
- Capacity: 3
- Number of Doors: 2
- Packed Size: 17.5 x 8.0 x 3.5 in
- Packed Weight: 3 lb , 5 oz
- Floor Dimensions: 88 x 68/62 in / 223.5 x 172.7/157.5 cm
- Floor Area: 39.7 sq ft
- Vestibule Area: 8.6 sq ft + 8.6 sq ft
- Interior Peak Height: 44 in.
- Canopy Fabric: 15D Nylon Ripstop/ No-See-Um Mesh
- Fly Fabric: OSMO
- Floor Fabric: 0D OSMO™ Ripstop (1500 mm)
- Freestanding: Semi-Freestanding
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4.1 ★★★★★
Based on 241 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
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