توضیحات
Written by Jay R, this book provides a step-by-step approach to designing, implementing, and deploying generative AI applications using Python and LangChain. It is tailored for developers, data scientists, and AI enthusiasts who want to gain practical experience building AI solutions.
Key topics include:
Introduction to Generative AI: Understanding large language models (LLMs), transformers, and AI concepts.
LangChain Fundamentals: How to use LangChain for building AI workflows, connecting LLMs to external data, and managing prompts.
Project-Based Learning: Step-by-step projects including chatbots, content generators, and AI assistants.
Data Integration: Techniques for connecting AI models to APIs, databases, and other data sources.
Deployment and Scalability: Running AI applications in production environments, handling performance, and scaling solutions.
Best Practices: Prompt engineering, code optimization, and security considerations for AI apps.
By the end of the book, readers will have practical, hands-on experience in building real AI applications and understanding the workflow of generative AI projects. It is ideal for Python developers and AI enthusiasts looking to implement AI solutions in real-world scenarios.
نقد و بررسیها
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