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OMRON INDUSTRIAL AUTOMATION XW5T-S4.0-2.2-1 DIN Rail Mount Terminal Block, Feed Through, 4 Ways, 26 AWG, 10 AWG, 6 mm�, Screw, 32 AThis is a DIN Rail Mount Terminal Block, Feed Through, 4 Ways, 26 AWG, 10 AWG, 6 mm, Screw, 32 A product from OMRON INDUSTRIAL AUTOMATION with the model number XW5T S4. 0 2. 2 1Product details Wire Size AWG Max 10AWG Wire Connection Method Screw Rated Current 32A No. of Positions 4Ways Conductor Area CSA 6mm Product Range XW5T Series No. of Levels 1 Wire Size AWG Min 26AWG Rated Voltage 500V Other details Brand OMRON INDUSTRIAL AUTOMATION Part Number
This is a DIN Rail Mount Terminal Block, Feed Through, 4 Ways, 26 AWG, 10 AWG, 6 mm�, Screw, 32 A product from OMRON INDUSTRIAL AUTOMATION with the model number XW5T-S4.0-2.2-1Product details
| Wire Size AWG Max | 10AWG |
| Wire Connection Method | Screw |
| Rated Current | 32A |
| No. of Positions | 4Ways |
| Conductor Area CSA | 6mm� |
| Product Range | XW5T Series |
| No. of Levels | 1 |
| Wire Size AWG Min | 26AWG |
| Rated Voltage | 500V |
Other details
| Brand | OMRON INDUSTRIAL AUTOMATION |
| Part Number | XW5T-S4.0-2.2-1 |
| Quantity | Each |
| Technical Data Sheet EN |
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4.6 ★★★★★
Based on 364 reviews
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Product Reviews
★★★★★ 5
Very good!
Format: Paperback
Book worth gold I love it! I will read it again! I recommend you buy it! Open your mind and make finances 🧠✨️
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Reviewed in the United States on April 1, 2026
★★★★★ 4
8.5 de 10
Format: Kindle
Lenguaje solo para profesionales y no para principiantes. Lo demás es perfecto con 4 estrellas ya que hasta lloré 3 veces ...
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Reviewed in the United States on April 22, 2026
★★★★★ 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