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Ca Rugate Rio Albo ValpolicellaVandaag de dag staat de vierde generatie van de familie Tessari aan het roer van het mooie wijnhuis Ca'Rugate. De naam van het wijnhuis heeft hij te danken aan de Rugate Heuvel waar de wijngaarden en het wijnhuis op zijn gevestigd. Om precies te zijn ligt het ten noorden van het bekende dorpje Soave. Ca'Rugate maakt de wijnen met respect voor de natuur, met volop tradities en behoud van de oude historische methodes van Itali. De wijngaarden staan op
Vandaag de dag staat de vierde generatie van de familie Tessari aan het roer van het mooie wijnhuis Ca'Rugate. De naam van het wijnhuis heeft hij te danken aan de Rugate Heuvel waar de wijngaarden en het wijnhuis op zijn gevestigd. Om precies te zijn ligt het ten noorden van het bekende dorpje Soave. Ca'Rugate maakt de wijnen met respect voor de natuur, met volop tradities en behoud van de oude historische methodes van Italië. De wijngaarden staan op zeer vulkanische zwarte gronden die hun bijdrage leveren aan de kwaliteit van de wijnen. En ja in elke wijn kun je een zwerm van zwavel ruiken of proeven. Maar deze rode Rio Albo Valpolicella is toch wel heel bijzonder want hij kreeg onlangs 91 punten van James Suckling en dat is toch niet mis voor een wijn rond de twaalf euro.De oude Valpolicella wijngaard van Ca'Rugate
De oude dikke stammen in het Valpolicella gebied zijn gevuld met de druiven Corvina, Corvione en Rondinella. Deze oude wijnrassen voeden de rode wijn en geven hem zijn rondeur en finesse. De ligging van de wijngaard is perfect en ligt in het heuvelige gebied van Montecchia di Crosara. De bodem bestaat uit kalksteen en graniet waardoor de ranken diepe wortels hebben. Zo zijn ze opgewassen tegen het warme klimaat in de Valpolicella. Zodra de oogst rijp is worden ze geheel met de hand geoogst, enkel de beste trossen komen in de fles terecht. Maar dat proeven wij ook wel, een loep zuivere rode wijn met een eigentijds karakter.De geur en smaak van de Rio Albo Valpolicella
Na een aantal maanden rijping in de kelders van Ca'Rugate is hij klaar om genuttigd te worden. Bij het open maken ruiken we direct een krachtige geur van rood fruit met daarbij zwarte kersen. Bij het inschenken zien we een prachtige robijn rode kleur met een lichte paarse rand. Al onze zintuigen zijn geprikkeld en we ruiken diverse indrukken. We denken aan verse kersen en bramen aangevuld met een zwerm van blauwe bessen. De smaak is fluweelachtig met nuances van zwart fruit, lichte tannines, jam en verse aardbeien.Shipping Notes
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4.4 ★★★★★
Based on 13 reviews
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Product Reviews
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them.
Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!)
Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples).
Seems like the book was rushed, and the author has limited hands on experience (if any).
At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket!
Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC.
- How to prepare your data for training by making it extremely clean.
Developing the brains: the practical aspects of training, optimizing, and maintaining your models.
- Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities.
Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise.
- It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!)
Really, this feels like a useful toolkit, so Ken thank you for that resource
Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on.
That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks.
Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025