Best in 7 days
Pay in installments of $5.85 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Jun 16 - Jun 21
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Geek Bar Pulse Disposable Vape 7500 15000 puffs Online How To Charge A Cart With A Vuse Charger Vuse Alto Battery Power Unit foger pod only Can You Charge Foger Vape Without Battery FOGER (POD ONLY BATTERY NEEDED) SMOK SMOKTech Mods, Pods, & Starter Kits how much is elf bar vape Disassemble Geek Bar Pulse How To Disassemble A Geek Bar Pulse For Recycling And What Components Should You Know Australia Pulse Without Azeus Smoke & Vape Reviews, Photos & Phone Number Updated May 2026 Specialty Shops in Clay County, Florida (FL) Wheree
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
Discover Niche Categories That Outsell how many hits in a flum pebble
Top-Converting Item to Boost Your Average Order
Best in 7 days
Best in 7 days
Best in 7 days
Best in 7 days
4.4 ★★★★★
Based on 2144 reviews
Sort
Product Reviews
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 7, 2024
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026
★★★★★ 5
Necessary book to actually get value from AI tools
Format: Kindle
If you don't know how to prompt AI models correctly, you're missing out on substantially better results. This book has literally everything I could have asked for, it's an awesome resource.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 21, 2024
