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Description
OHAUS Adventurer® Precision BalancesOverview Striking the ideal balance between inventive features and functional, uncomplicated weighing capabilities, the OHAUS Adventurer incorporates all of the applications necessary for routine weighing and measurement activities. With a color touchscreen, GLP GMP compliance capabilities, two USB ports, and much more, Adventurer is the most complete balance in its class. Applications Weighing, Parts Counting, Percent Weighing, Checkweighing, Animal
Overview
Striking the ideal balance between inventive features and functional, uncomplicated weighing capabilities, the OHAUS Adventurer incorporates all of the applications necessary for routine weighing and measurement activities. With a color touchscreen, GLP/GMP compliance capabilities, two USB ports, and much more, Adventurer is the most complete balance in its class.
Applications
Weighing, Parts Counting, Percent Weighing, Checkweighing, Animal/Dynamic Weighing, Totalization/Statistics, Formulation, Density Determination, Display Hold
Display
4.3" (109 mm) Full-color VGA graphic touchscreen with user-controlled brightness
Operation
AC adapter (included)
Communication
RS232, USB Host, USB Device (included). GLP/GMP data output with real-time clock.
Construction
Metal base, ABS top housing, stainless steel pan, glass draftshield with two piece top mounted side doors and sliding top door (1mg models only), illuminated up-front level indicator, integral weigh below hook, security bracket, calibration lock, full housing in-use cover
Design Features
Selectable environmental filters, auto tare, user selectable span calibration points, software lockout and reset menu, user selectable communication settings and data print options, user definable project and user IDs, up to 9 operating languages
Features:
- Fast stabilization and reliable operation are enhanced by the AutoCalTM option to ensure solid weighing performance and accurate, repeatable results for standard laboratory applications.
- The wide viewing angle color touchscreen provides access to all of Adventurer’s applications, while dual USB ports with GLP/GMP tracking capabilities assist in the monitoring and reporting of data.
- The 1mg models have a two piece, top-mounted draftshield with doors that open wide, providing ample room for sample placement, while the 0.01g and 0.1g models feature large weighing pans.
Key Attributes
| Capacity | 220-8200g (model dependent) |
| Readability | 0.001-0.1g (model dependent) |
| Calibration | External or Internal and External (model dependent) |
| Draft protection | None* (Doors on 0.001g readability models) |
| Data output port | RS232 and USB |
| Warranty | 2 Years |
Manufacturer Specifications
| Model | AX223 | AX324 | AX523 | - | AX622 | - | AX1502 | AX2202 | AX4202 | AX5202 | - | AX4201 | AX8201 |
| External Calibration | AX223 /E |
AX324 |
AX523 /E |
AX422 /E | - | AX822 /E | AX1502 /E | AX2202 /E | AX4202 /E | - | AX2201 /E | AX4201 /E | AX8201 /E |
| Certified Models | AX223 N/E |
AX324N AX423 N/E |
AX523 N/E |
- | - | - | AX1502 N/E |
AX2202 N/E |
AX4202 N/E |
- | - | - | AX8201 N/E |
| Capacity (g) | 220 | 420 | 520 | 420 | 620 | 820 | 1520 | 2200 | 4200 | 5200 | 2200 | 4200 | 8200 |
| Readability d (d) | 0.001 | 0.01 | 0.1 | ||||||||||
| Verification Interval* e (g) | - | 0.01 | - | 0.1 | - | - | - | I | |||||
| Class* | - | II | - | II | - | - | - | II | |||||
| Repeatability stg (g) | ±0.001 | ±0.01 | ±0.1 | ||||||||||
| Linearity | ±0.002 | ±0.02 | ±0.2 | ||||||||||
| Stabilization Time (sec) | ≤2 | ≤1.5 | ≤1.5 | ||||||||||
| Sensitivity Drift (ppm/°C) | 3 | 3 | 1.9 | 9 | |||||||||
| Weighing Units | Gram, Milligram, mesgal, momme, Newton, Ounce, Pennyweight, Baht, carat, Grain, pound, Hong Kong Tael, Singapore Tael, Taiwan Tael, Tical, Tola, troy ounce, Custom Unit 1 | ||||||||||||
| Weighing Units, certified models | - | ct, grain, g, mg, oz, ozt, dwt | ct, grain, g, oz, ozt, dwt, lb, kg | - | - | - | ct, grain, g, oz, ozt, dwt, lb, kg | ||||||
| Weighing Applications | Weighing, Percent Weighing, Parts Counting, Check Weighing, Dynamic Weighing, Totalization, Formulation, Density Determination, Display Hold | ||||||||||||
| Pan Size (diameter) | Ø 3.5 in / 90 mm | 6.9 x 7.7 in / 175 x 195 mm | 6.9 x 7.7 in / 175 x 195 mm | ||||||||||
| Calibration | All models feature external calibration. Models feature AutoCal™ internal calibration, except for AX.../E models | ||||||||||||
| Tare Range | To capacity by subtraction | ||||||||||||
| Power Requirements | AC Adapter Input: 100-240 VAC, 0.3A, 50-60 Hz AC Adapter Output: 12 VDC 0.84A | ||||||||||||
| Display Type | Full-color Touchscreen WQVGA Graphic LCD | ||||||||||||
| Display Size | 4.3 in / 109 mm (diagonal) | ||||||||||||
| Base Housing (wxdxh) | 13.93 × 13.39 × 9.05 in / 354 × 340 × 230 mm | 13.93 × 3.94 × 9.05 in / 354 × 100 × 230 mm | |||||||||||
| Communication | RS232, USB Device, USB Host | ||||||||||||
| Temperature Range | 50°F to 86°F / 10°C to 30°C | ||||||||||||
| Humidity Range | Maximum relative humidity 80% for temperatures up to 86°F/30°C | ||||||||||||
| Storage Conditions | 14°F/-10°C to 140°F/60°C at 10% to 90% relative humidity, non-condensing | ||||||||||||
| Shipping Dimensions (WxHxD) | 20.0 × 15.4 × 20.9 in / 507 × 387 × 531 mm | 22.0 × 15.5 × 11.9 in / 557 × 392 × 301 mm | |||||||||||
| Net Weight | 12.8 lbs / 5.8 kg | 10.2 lbs / 4.6 kg | 8.4 lbs / 3.8 kg | ||||||||||
| Shipping Weight | 18.8 lbs / 8.5 kg | 14.4 lbs / 6.5 kg | 12.6 lbs / 5.7 kg | ||||||||||
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.6 ★★★★★
Based on 18 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
WAS THIS REVIEW HELPFUL?YesReportShare
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!
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024
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