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Hairwonder Botanical styling moulding fibre 100.00 MilliliterHairwonder Botanical styling moulding fibre Soepele fibre cream voor een elastische versteviging en briljante glans. Geeft extra body en volume. Bevat rijstprotenen als natuurlijke bescherming tegen UV straling. Geschikt voor alle haarlengten. elastische versteviging en briljante glans extra body en volume Werkzame bestanddelen Aqua(water) Paraffinum liquidum (mineral oil) Alcohol denat. Ceteareth 30 Laureth 2 Ceteth 2 Sorbitol Cera alba (beeswax)
Hairwonder Botanical styling moulding fibreSoepele fibre cream voor een elastische versteviging en briljante glans. Geeft extra body en volume. Bevat rijstproteïnen als natuurlijke bescherming tegen UV straling. Geschikt voor alle haarlengten.
- elastische versteviging en briljante glans
- extra body en volume
Werkzame bestanddelen
Aqua(water) Paraffinum liquidum (mineral oil) Alcohol denat. Ceteareth-30 Laureth-2 Ceteth-2 Sorbitol Cera alba (beeswax) Paraffin Parfum (fragrance) Citric acid Phenoxyethanol PEG-90M Glycerin Sodium hydroxide Diazolidinyl urea Magnesium sulfate Hydrolyzed rice protein BHT Ethylhexylglycerin Panthenol Hydrolyzed corn protein Hydrolyzed soy protein Hydrolyzed wheat protein Aspalathus linearis leaf extract* Camellia sinensis leaf extract* Cassia angustifolia leaf extract* Chamomilla recutita (matricaria) flower extract* Humulus lupulus (hops) flower extract* Melissa officinalis leaf extract* Sodium benzoate *Certified organic
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Frenchtop NaturalCare Products
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4.6 ★★★★★
Based on 43 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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
★★★★★ 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