SKU/Artículo: AMZ-B0G1PN6GN5

LLMS IN PYTHON : 50+ EXPERT-LEVEL PYTHON PROJECTS FOR MASTERING LARGE LANGUAGE MODELS, LANGCHAIN, AND LANGGRAPH ARCHITECTURES

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Fuera de stock

Peso con empaque:
0.15 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Sobre este producto

Master the architecture and inner workings of Large Language Models
Build and train LLMs from scratch using modern Python toolchains
Fine-tune and optimize models with LoRA, PEFT, and transfer-learning methods
Create advanced LangChain pipelines for multi-step reasoning and agentic AI
Implement LangGraph for context-aware, structured decision workflows
Design Retrieval-Augmented Generation (RAG) systems that ground LLMs in data
Deploy, scale, and monitor production-grade LLMs in cloud environments
Explore 50+ hands-on projects that reinforce every concept through real-world use cases
Expert-Level Projects: Each project builds on the last, guiding you from fundamental model construction to multi-agent AI design.
Cutting-Edge Frameworks: Covers LangChain, LangGraph, RAG, and modern agentic patterns.
Up-to-Date for 2026: Reflects the latest breakthroughs in LLM architecture, fine-tuning, and open-source tooling.
Engineer’s Perspective: Written by Finn Cordex—an author known for bridging research theory with hands-on, production-grade AI engineering.

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LLMS IN PYTHON : 50+ EXPERT-LEVEL PYTHON PROJECTS FOR MASTERING LARGE LANGUAGE MODELS, LANGCHAIN, AND LANGGRAPH ARCHITECTURES

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Building LLM Powered Applications: Create intelligent apps and agents with large language models

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LLMS IN PYTHON : 50+ EXPERT-LEVEL PYTHON PROJECTS FOR MASTERING LARGE LANGUAGE MODELS, LANGCHAIN, AND LANGGRAPH ARCHITECTURES

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