SKU: 12663163644

bot banh pudding huong dau

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Description

bot banh pudding huong dauBnh Pudding l mn trng ming b dng v thm ngon tuyt ho cho mi ngi, mi nh. t tay lm thm ngon nh ngoi hng, cn g tuyt vi hn khi nay c bt puding ng gi sn tin li. Bt Pudding Kenton c sn xut bng cng ngh hin i theo quy trnh khp kn, m bo cht lng v sinh an ton thc phm. Thnh phn chnh ca sn phm gm bt sa bo, bt sa gy. ng, cht nh ha, gelatin, . Sn phm c hng v thm ngon, ngt bo, mm mn. Vi nhiu hng v khc nh vani, ht d, du, qu ph, bn c th to nn nhng loi pudding mu sc tht

Bánh Pudding là món tráng miệng bổ dưỡng và thơm ngon tuyệt hảo cho mọi người, mọi nhà. Để tự tay làm thơm ngon như ngoài hàng, còn gì tuyệt vời hơn khi nay đã có bột puding đóng gói sẵn tiện lợi.

Bột Pudding Kenton được sản xuất bằng công nghệ hiện đại theo quy trình khép kín, đảm bảo chất lượng vệ sinh an toàn thực phẩm. Thành phần chính của sản phẩm gồm bột sữa béo, bột sữa gầy. đường, chất nhũ hóa, gelatin, …. Sản phẩm có hương vị thơm ngon, ngọt béo, mềm mịn. Với nhiều hương vị khác như vani, hạt dẻ, dâu, quả phỉ, bạn có thể tạo nên những loại pudding màu sắc thật hấp dẫn.

Ngoài là món tráng miệng, bánh pudding còn là một loại topping được ưa chuộng để thêm vào trà sữa, chè. Bánh pudding béo ngậy sẽ giúp cốc trà sữa thêm hương vị, ngon hơn, hấp dẫn hơn.

Bột được đóng kín trong một hộp nhỏ gọn, vô cùng tiện lợi cho việc sử dụng cũng như bảo quản

Thành phần: Đường 69.06%, tinh bột bắp 30%, màu tự nhiên beet root red 0.35%, bột dâu 0.2%, chất làm đầy carraeenam 0.02%, hương dâu tự nhiên 0.18%, màu tổng hợp beta 0.01%

Khối lượng: 100g/gói

Bảo quản: Nơi khô thoáng tránh ánh nắng trực tiếp

Hướng dẫn sử dụng: Cho bột vào 600ml sữa khuấy đều với nhiệt độ vừa phải, khuấy đến khi sôi, tiếp tục nấu 2-3 phút rồi đổ ra khuôn làm lạnh 30 phút và sử dụng

Hạn sử dụng: 2 năm từ ngày sản xuất

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SKU: 12663163644

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4.7 ★★★★★
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D
Verified Purchase
David Escobar
Lexington, US
★★★★★ 1
Nothing new
Format: Audiobook
There nothing new in this book you will defiantly find this content in any leadership book
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 16, 2019
F
Verified Purchase
Filipe Fernandes
Draper, US
★★★★★ 5
Great book
Format: Paperback
Love the fact you put examples in python and javascript. Great book.
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Reviewed in the United States on June 10, 2025
E
Verified Purchase
Eddwin Paz
Belleville, US
★★★★★ 5
proper documentation from langchain
Format: Paperback
Liked the book. But Still missing Human in the loop.
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Reviewed in the United States on April 19, 2025
B
Verified Purchase
B. Black
Battle Creek, US
★★★★★ 3
Already outdated
Format: Paperback
Concepts are sound but the code in this book is already obsolete
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Reviewed in the United States on August 5, 2025
J
Joe Faith
Birmingham, US
★★★★★ 5
Unlocking Practical AI: A Developer’s Guide to Building with LLMs and LangChain
Format: Paperback
If you're a developer eager to move beyond LLM experimentation and build robust, context-aware AI applications, this book offers both inspiration and practical guidance. The authors open with a clear passion for the transformative potential of large language models (LLMs) and LangChain, framing these technologies as not just enhancements to the developer’s toolkit, but as gateways to new kinds of “thing-building” superpowers. This sense of possibility is grounded in step-by-step instruction, making the book approachable for those with Python or JavaScript backgrounds who may be new to the world of production-grade AI agents. What stands out is the book’s careful scaffolding: starting with foundational concepts like prompt-based programming and progressing to advanced capabilities such as retrieval-augmented generation, agent planning, and tool integration. Each stage is contextualized with real-world use cases, like customizing chatbots to interact with your own documents, personalizing user experiences through memory, and deploying to production with reliability and security in mind. The focus on chain-of-thought reasoning and LangGraph’s agent architecture demonstrates the authors’ awareness of the current state of AI, where context and planning are just as important as raw language ability.
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Reviewed in the United States on July 17, 2025

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