The EXPS™ HWS offers multiple brightness settings offering quick adjustability to accommodate any shooting situation.
- HWS EXPS2™
- Quick-Start Guide
- Warranty Card
- CR123 Battery
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Description
HWS EXPS2™The HWS EXPS2 maximizes rail space with its compact size and allows for co witnessing of iron sights. It has convenient side buttons to add a magnifier and features an adjustable, locking, quick detach lever for easy attachment and removal. This Product is subject to ITAR EAR Export Controls. Please visit our ITAR EAR page (click here) or Contact Us for more Information. TECHNICAL SPECIFICATIONS: Dimensions (L x W x H): 3. 8" x 2. 3" x 2. 9" (96. 5 x
The HWS EXPS2™ maximizes rail space with its compact size and allows for co-witnessing of iron sights. It has convenient side buttons to add a magnifier and features an adjustable, locking, quick-detach lever for easy attachment and removal.
This Product is subject to ITAR/EAR Export Controls. Please visit our ITAR/EAR page (click here) or Contact Us for more Information.
TECHNICAL SPECIFICATIONS:
- Dimensions (L x W x H): 3.8" x 2.3" x 2.9" (96.5 x 58.4 x 73.7 mm)
- Weight: 11.2 oz (317.5 g)
- Water Resistance: 10 ft (3 m) depth
- Mount: 1" Weaver or MIL-STD-1913 rail
- Windage & Elevation Adjustment: 0.5 MOA per click
- Brightness Settings: 20 daylight settings
- Power Source: 1 x CR123 battery
- Battery Life: 1,000 continuous hours at nominal setting 12 at room temperature
- Operating Temperature: -40°F to 140°F (-40°C to 60°C)
- Country of Origin: Made in USA
RETICLE SPECIFICATIONS:
EOTECH One Dot Reticle
Our most popular reticle offered, the 68 MOA ring with 1 MOA dot provides three usable aiming points. The aiming points above are based on the following load: .223 cal. 62 gr. 2,900 vel. When using other loads and calibers, the opera- tor will have to establish the ranges associated with the aiming points. When using a shotgun, the 68 MOA ring can be used to represent shot patterns but will vary based on choke and shell selection. For ordering this reticle, the model codes will end in -0.
EOTECH Two Dot Reticle
Our two-dot reticle pattern can be easily distin- guished with or without magnification and offers the benefit of an additional long-range, aiming dot. The aiming points above are based on the following load: .223 cal. 62 gr. 2,900 vel. For or- dering this reticle, the model codes will end in -2
RANGE ESTIMATION WITH UNMAGNIFIED HWS
The standard ring found in most reticles equates to approximately 68" (5'8") at 100 yards.
BRIGHTNESS OPTIONS:
All EOTECH Product are designed to give many years of trouble-free performance and reliability. Nonetheless, failures do sometimes occur even with equipment as well-built as EOTECH’s. Therefore, please read the Warranty information below carefully, because it contains important information, which in the event of such a failure, may be very helpful to you.
If after reading EOTECH’s Warranty thoroughly and you have any questions, please do not hesitate to contact EOTECH directly.
Please also note, that if your Product ever does require Warranty service, obtaining such service will be much easier if you have read the Warranty that applies to your product and have completed the Product Registration.
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 20 reviews
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Product Reviews
★★★★★ 5
A wonderful primer for those discovering the amazing world of generative AI
Format: Paperback, Format: Paperback
Somewhere in the past year, ChatGPT has gone from "cool, interesting, amusing" to a massively valuable work assistant capable of writing Python scripts, analysing data, and doing lots, lots, more. The key to this? The rapid evolution of OpenAI's GPT models and making my first forays into prompt engineering.
If I thought I was getting good, though, this book took me reminded me that I'm just scratching the surface. Halfway through the first chapter I was already furiously scribbling notes in the margins for what I could do better with my prompt writing and by the end of the text I felt like I had gotten a very good grounding - not just in GPTs specifically but in the bigger picture of how these hugely powerful tools were trained and came to maturity.
I imagine that few will argue with my assertion that there is lots of hyperbole and "noise" in the AI space right now which, as ever, makes it hard to pick out the signal from the noise. Which is precisely why I sought out an O'Reilly title and I'm very glad that I did.
Thorough, excellent, and I hope that this edition will be the first of many. As this rapidly maturing field scales and matures I think that prompt engineering will be an essential discipline to master. Pick up this text to get a good foothold on things.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2024
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms.
It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools.
As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place.
As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2025
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 25, 2024
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