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Building Claude models: A Python Developer's guide to Real world AI Workflows
Disponibilidad:
Fuera de stock
Fuera de stock
Peso con empaque:
0.36 kg
0.36 kg
Devolución:
No
No
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Sobre este producto
- How Claude differs from other LLMs in its design, alignment approach, reasoning capability, and safety model
- The right way to set up and interface with Claude using Python, SDKs, and HTTP calls
- Strategies for writing prompts that are robust, interpretable, and aligned with human intent
- System prompt design and memory-aware multi-turn workflows tailored to production environments
- Designing and registering tool APIs for real-time function execution with Claude
- Building Claude-powered agents using LangChain, including memory, tool routing, and task delegation
- Implementing RAG (Retrieval-Augmented Generation) with Claude using semantic search, LlamaIndex, and LangChain
- Integrating Claude into full-stack systems with FastAPI and asynchronous Python for scalable deployments
- Evaluating Claude’s outputs with reliability metrics, simulation prompts, and constraint tests
- Managing cost efficiency, system alignment, and runtime diagnostics in real-world production settings
- Python developers building AI tools, SaaS platforms, internal assistants, or knowledge systems
- Machine learning engineers incorporating Claude into production pipelines
- Technical architects and backend engineers integrating Claude into scalable, privacy-aware systems
- Developers transitioning from GPT, Gemini, or open-source models to Claude with a focus on safety, control, and reasoning
- Builders seeking more than chatbot-level implementations—those aiming for tool use, reasoning, and human-centered interaction
- Developer-Centric and Production-Oriented: Focuses on Claude as a platform for real applications—not as a novelty or a prototype toy
- Practical and API-Driven: Centered on realistic Python development workflows using modern tools like LangChain, LlamaIndex, FastAPI, and Anthropic SDKs
- Grounded in Reasoning and Alignment: Deeply integrates Claude’s unique strengths in chain-of-thought, tool use, memory handling, and constitutional alignment
- No Filler, No Tutorials, No Overviews: This is not an intro to LLMs or a high-level overview—it’s a detailed, expanded, and implementation-ready handbook
- Focused on Safety, Cost, and Reliability: Addresses key production needs including rate limits, token management, system-level alignment, and failure recovery
- Built for the Claude Era: Designed for developers who want to build systems that reason—not just respond—with clarity, transparency, and control
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