SKU: 232297862
cybex carriola

cybex carriola Carriola Cybex PRIAM4 CHROME & BROWN

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Description

cybex carriola Carriola Cybex PRIAM4 CHROME & BROWNCaractesticas PLEGABLE CON UNA SOLA MANO: Es fcil de plegar con una mano. Su asiento se dobla junto al chasis, convirtindose en un paquete plano y compacto. Gracias a su plegado estable, puede guardarse discretamente. RECLINADO CON UNA SOLA MANO: Gracias a su simple manejo, el asiento se reclina con una mano hasta alcanzar una posicin horizontal, convirtiendo a la silla en una cmoda cama porttil. ASIENTO REVERSIBLE: Ya sea a favor o en contra de la


    

Caracteísticas 

  • PLEGABLE CON UNA SOLA MANO: Es fácil de plegar con una mano. Su asiento se dobla junto al chasis, convirtiéndose en un paquete plano y compacto. Gracias a su plegado estable, puede guardarse discretamente.
  • RECLINADO CON UNA SOLA MANO: Gracias a su simple manejo, el asiento se reclina con una mano hasta alcanzar una posición horizontal, convirtiendo a la silla en una cómoda cama portátil.
  • ASIENTO REVERSIBLE: Ya sea a favor o en contra de la marcha, el asiento puede ajustarse fácilmente a la posición deseada en simples pasos.
  • CAPOTA SOLAR XXL: La capota extensible XXL del PRIAM ofrece protección solar UPF50+ a la vez que protege del viento y las inclemencias meteorológicas.
  • SUSPENSIÓN EN LAS 4 RUEDAS: La nueva suspensión en las 4 ruedas, garantiza un paseo suave, tranquilo y cómodo tanto para los padres como para el niño.
  • MODO PLAYA: El modo “dos ruedas” del PRIAM garantiza un paseo suave y seguro en superficies irregulares y desiguales como playas de arena o escaleras.
  • EXTRA-GRANDE CESTA PORTAOBJETOS: dispone de una amplia cesta portaobjetos de fácil acceso que puede plegarse cuando es necesario.
  • FUNCIÓN TRONA (SILLA ALTA): La altura del asiento está perfectamente alineada con la altura media de una mesa (80 cm), así que puede utilizarse como trona en restaurantes o cafés.

Características:

  • No incluye porta bebé (Se vende por separado)

1 año de garantía, sobre defecto de fábrica directamente con el proveedor: CYBEX

    Los colores pueden variar por el formato de la imagen.
    Fecha de entrega de 7 a 15 días hábiles.


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    SKU: 232297862

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    4.9 ★★★★★
    Based on 23 reviews
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    A
    Allen Wyma
    Boise, US
    ★★★★★ 5
    Great Resource when Integrating AI
    Format: Kindle
    This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on August 26, 2025
    O
    Om S
    Natrona Heights, US
    ★★★★★ 4
    Title: Really Good Book for Learning LLMs
    Format: Paperback, Format: Paperback
    I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on July 25, 2025
    J
    Jiewen Wang
    Boise, US
    ★★★★★ 5
    a comprehensive guide at the intersection of generative AI and cybersecurity
    Format: Kindle
    This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
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    Reviewed in the United States on July 2, 2025
    N
    Nader
    Charlottesville, US
    ★★★★★ 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
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on December 31, 2025
    N
    noam barkay
    San Leandro, US
    ★★★★★ 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
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on June 9, 2025

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