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Mastering Kimi K2.5: Building High-Reasoning AI Applications with Long-Context Models

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Mastering Kimi K2.5: Building High-Reasoning AI Applications with Long-Context Models Mastering Kimi K2.5: Building High-Reasoning AI Applications with Long-Context Models

作者:Harrison 
出版社:Independently Published
出版日期:2026-01-31
語言:英文   規格:平裝 / 202頁 / 25.4 x 17.78 x 1.09 cm / 普通級/ 初版
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圖書名稱:Mastering Kimi K2.5: Building High-Reasoning AI Applications with Long-Context Models

內容簡介

Mastering Kimi K2.5
Build High-Reasoning AI Systems That Actually Think

Most AI applications today are shallow.

They summarize.
They autocomplete.
They chat.

But they don’t reason.

They forget context.
They break on long documents.
They fail when problems span multiple steps or hundreds of pages.

That’s where everything changes.

Kimi K2.5 introduces a new class of AI model designed for deep reasoning and massive context windows - capable of analyzing entire reports, codebases, legal contracts, and research archives in a single pass.

And this book shows you exactly how to build with it.


What You’ll Learn

This is not theory.
This is not hype.
This is a hands-on engineering guide for developers who want to ship real systems.

Inside, you’ll learn how to:

  1. Design prompts that produce multi-step reasoning instead of shallow answers
  2. Work safely with massive long-context inputs without drift or hallucinations
  3. Build document intelligence pipelines that analyze thousands of pages at once
  4. Create reasoning agents that plan, decompose tasks, and call tools reliably
  5. Combine long-context + RAG for scalable knowledge systems
  6. Optimize throughput, latency, and cost for production workloads
  7. Defend against prompt injection, data leaks, and unsafe inputs
  8. Deploy fault-tolerant, enterprise-grade AI infrastructure
  9. Architect future-proof systems that evolve as models improve

Built for Real Developers

Every chapter is practical and implementation-focused.

You get:

- Complete runnable Python examples
- Production-ready architectural patterns
- Step-by-step system designs
- Debugging techniques for failing prompts
- Performance tuning strategies
- Security and compliance practices
- Real-world case studies (legal analysis, research assistants, enterprise automation)

No fluff.
No toy demos.
Only techniques you can use in production.


What Makes This Book Different

Most AI books teach you how to "call an API."

This book teaches you how to engineer intelligent systems.

Instead of scattered tricks, you’ll master:

- Long-context reasoning
- Multi-stage thinking workflows
- Agent architectures
- Scalable AI infrastructure
- Reliability and safety engineering

By the end, you won’t just use Kimi K2.5 -
you’ll design systems that think like experts.


Perfect For

- Software engineers
- AI/ML engineers
- Backend developers
- Platform teams
- Technical founders
- Anyone building serious AI products

If you want to move beyond chatbots and build real analytical AI systems, this book is for you.


The Future of AI Is Reasoning

Short-context models answer questions.

Long-context reasoning models solve problems.

If you want to build the next generation of AI applications -
document intelligence, research copilots, autonomous agents, enterprise automation -

this is your playbook.

Start building AI systems that don’t just respond...
but truly reason.
Get your copy of Mastering Kimi K2.5 today.

 

詳細資料

  • ISBN:9798246365298
  • 規格:平裝 / 202頁 / 25.4 x 17.78 x 1.09 cm / 普通級 / 初版
  • 出版地:美國
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