#544RSE 110 deg Reverse Electric Nose Retract RoboStrut Ready

#544RSE 110 deg Reverse Electric Nose Retract RoboStrut Ready

Marsoni

M251S

$143.69

Get it in 3 business days with 1 day shipping. Friday, May 29

#544RSE 110 deg Reverse Electric Nose Retract RoboStrut ReadyDISCONTINUED: THIS PAGE IS ONLY UP FOR RESEARCH PURPOSES. This gear is a special order product. Please contact us by Email or at 630 584 7616 for pricing and availability. 110 degree Reverse Electric Rail Mount Nose Retract RoboStrut Ready (each) The 530 Series retract offers a ultra low profile only 1 inch high. This gear is a reverse retract, brining the wheel up and away from the gear. This can take either a 3 8" or 7 16" diameter RoboStrut.

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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

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Matt B

Lexington, US

★★★★★ 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.

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Reviewed in the United States on June 25, 2024

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Pawtucket, US

★★★★★ 4

Helpful for GPT/LangChain framework

Format: Paperback

I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods. And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.

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Reviewed in the United States on August 7, 2024

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K. Wain

Charlottesville, US

★★★★★ 3

Good concepts, but uneven depth

Format: Paperback

Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.

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Reviewed in the United States on January 17, 2026