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Description
MACINA KAPOHO MASTERframe Macina Kapoho Dimmix Carbon 160 UDH PT750 Bosch BDU37 M2246 fork FOX 36 Float 29" Perf E 160mm 15x110 rear shock FOX Float X Performance 2Pos 250x70 derailleur TRP RD M8000E 12speed shift levers TRP Switch SL M8000E brake front Shimano Deore XT M8100 M8120 4 Piston brake rear Shimano Deore XT M8100 M8120 4 Piston brake disc front Shimano MT800 CL 203 freeza brake disc rear Shimano EM810 CL 180 magnet rim front AmbrosioE30 Trail 28H 622x30TC rim
| frame | Macina Kapoho Dimmix Carbon 160 UDH|PT750 Bosch BDU37/M2246 |
| fork | FOX 36 Float 29" Perf E 160mm 15x110 |
| rear-shock | FOX Float X Performance 2Pos 250x70 |
| derailleur | TRP RD-M8000E 12speed |
| shift-levers | TRP Switch SL-M8000E |
| brake-front | Shimano Deore XT M8100 / M8120 4-Piston |
| brake-rear | Shimano Deore XT M8100 / M8120 4-Piston |
| brake-disc-front | Shimano MT800 CL 203 freeza |
| brake-disc-rear | Shimano EM810 CL 180 magnet |
| rim-front | AmbrosioE30 Trail 28H 622x30TC |
| rim-rear | Ambrosio E35 Trail 28H 584x35TC |
| tire-front | Maxxis Minion DHF 3C-MaxxTerra/EXO/TR 63-622 |
| tire-rear | Maxxis Minion DHR II 3C-MaxxTerra/EXO/TR 70-584 |
| hub-front | DT Swiss 370 CL 28H 110/15TA |
| hub-rear | DT Swiss 370 CL 28H 148/12 TA |
| spokes | DT Champion 2.0 black / DT Champion 2.0 black |
| handlebar | KTM TEAM Trail35 rizer25 800mm |
| stem | KTM TEAM Trail35 |
| headset | Acros AICR intern 1.1/8"-1.5" angle lim |
| grips | Ergon GA20 |
| saddle | Selle San Marco Ground Short Open Fit Narrow |
| seat-post | KTM COMP dropper internal 30.9 T:120 |
| seat-clamp | KTM Line JD-SC140A - 35,0mm |
| crankset | KTM E-TRAIL ISIS 160mm Q16 |
| drive | Shimano M6100-12 |
| sprockets | Shimano Deore M6100-12 / 10-51 |
| pedals | MTB-Pedal flat VPE-527 alloy |
| lock | ABUS integrated lock IT1 (X-Plus key) |
| motor | Bosch PERFORMANCE CX BDU3740 |
| battery | Bosch PowerTUBE 750Wh horizontal |
| battery-capacity | 750 |
| display | Bosch LED Remote / KIOX 300 TFT Display |
| charger | Bosch STANDARD Charger 4A |
| Geometrie | Klik hier voor de geometrie |
| Frame size | Klik hier voor de juiste maatvoering |
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4.6 ★★★★★
Based on 24 reviews
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Product Reviews
★★★★★ 5
Interesting
Format: Paperback
Product with very good quality, its description matches the website.
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Reviewed in the United States on April 11, 2026
★★★★★ 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.
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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.
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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
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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.
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Reviewed in the United States on June 25, 2024