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Generative AI with JavaScript & TypeScript: A Practical Developer's Guide to LLMs, Prompt Engineering, RAG, AI Agents, Tool Calling, LangChain, LangGraph, MCP, and Production AI Applications - Brossura
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Unlock the Power of Generative AI Using Your Existing JavaScript & TypeScript Skills!
If you are a JavaScript or TypeScript developer, you don't need to learn Python or machine learning mathematics to build modern AI applications. Generative AI with JavaScript & TypeScript delivers a clear, pragmatic engineering roadmap for software developers who want to move past simple API demos and build production-ready AI features.
Authored by experienced software developer Garima Pandey, this book guides you step-by-step through building 10 real-world projects—from streaming API clients and Zod-validated structured outputs to vector database RAG pipelines, stateful LangGraph agent workflows, and Model Context Protocol (MCP) tool integrations.
What You Will Learn:- LLM Fundamentals: Tokenization, context windows, sampling parameters (temperature, top_p), and message roles.
- Type-Safe AI Applications: Building resilient Node.js & TypeScript integrations with Zod schemas and retry handlers.
- Prompt & Context Engineering: Grounding AI responses, decomposing prompts, and defending against prompt injection.
- Real-Time Streaming & Memory: Server-Sent Events (SSE) chatbots, sliding window sessions, and database-backed persistent user memory.
- Tool Calling: Giving AI models the ability to execute application functions and external APIs safely.
- Retrieval-Augmented Generation (RAG): Building vector search pipelines with Pinecone, parent-child chunking, hybrid search, and re-ranking.
- AI Agents & Workflows: ReAct agent loops, LangChain.js, and stateful cyclic graphs with LangGraph.js and human-in-the-loop approvals.
- Model Context Protocol (MCP): Interoperating with standardized MCP tool servers using @modelcontextprotocol/sdk.
- Production Engineering: Golden dataset evaluations, LangSmith telemetry, token cost optimization, and OWASP AI Security guardrails.
Stop learning AI as a collection of buzzwords. Learn how to engineer useful, production-ready AI applications today!
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Generative AI with JavaScript & TypeScript (Paperback)
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Paperback. Condizione: new. Paperback. Unlock the Power of Generative AI Using Your Existing JavaScript & TypeScript Skills!If you are a JavaScript or TypeScript developer, you don't need to learn Python or machine learning mathematics to build modern AI applications. Generative AI with JavaScript & TypeScript delivers a clear, pragmatic engineering roadmap for software developers who want to move past simple API demos and build production-ready AI features.Authored by experienced software developer Garima Pandey, this book guides you step-by-step through building 10 real-world projects-from streaming API clients and Zod-validated structured outputs to vector database RAG pipelines, stateful LangGraph agent workflows, and Model Context Protocol (MCP) tool integrations.What You Will Learn: LLM Fundamentals: Tokenization, context windows, sampling parameters (temperature, top_p), and message roles.Type-Safe AI Applications: Building resilient Node.js & TypeScript integrations with Zod schemas and retry handlers.Prompt & Context Engineering: Grounding AI responses, decomposing prompts, and defending against prompt injection.Real-Time Streaming & Memory: Server-Sent Events (SSE) chatbots, sliding window sessions, and database-backed persistent user memory.Tool Calling: Giving AI models the ability to execute application functions and external APIs safely.Retrieval-Augmented Generation (RAG): Building vector search pipelines with Pinecone, parent-child chunking, hybrid search, and re-ranking.AI Agents & Workflows: ReAct agent loops, LangChain.js, and stateful cyclic graphs with LangGraph.js and human-in-the-loop approvals.Model Context Protocol (MCP): Interoperating with standardized MCP tool servers using atmodelcontextprotocol/sdk.Production Engineering: Golden dataset evaluations, LangSmith telemetry, token cost optimization, and OWASP AI Security guardrails.Stop learning AI as a collection of buzzwords. Learn how to engineer useful, production-ready AI applications today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9798194609130
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Generative AI with JavaScript & TypeScript : A Practical Developer's Guide to LLMs, Prompt Engineering, RAG, AI Agents, Tool Calling, LangChain, LangGraph, MCP, and Production AI Applications
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Generative AI with JavaScript & TypeScript (Paperback)
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Paperback. Condizione: new. Paperback. Unlock the Power of Generative AI Using Your Existing JavaScript & TypeScript Skills!If you are a JavaScript or TypeScript developer, you don't need to learn Python or machine learning mathematics to build modern AI applications. Generative AI with JavaScript & TypeScript delivers a clear, pragmatic engineering roadmap for software developers who want to move past simple API demos and build production-ready AI features.Authored by experienced software developer Garima Pandey, this book guides you step-by-step through building 10 real-world projects-from streaming API clients and Zod-validated structured outputs to vector database RAG pipelines, stateful LangGraph agent workflows, and Model Context Protocol (MCP) tool integrations.What You Will Learn: LLM Fundamentals: Tokenization, context windows, sampling parameters (temperature, top_p), and message roles.Type-Safe AI Applications: Building resilient Node.js & TypeScript integrations with Zod schemas and retry handlers.Prompt & Context Engineering: Grounding AI responses, decomposing prompts, and defending against prompt injection.Real-Time Streaming & Memory: Server-Sent Events (SSE) chatbots, sliding window sessions, and database-backed persistent user memory.Tool Calling: Giving AI models the ability to execute application functions and external APIs safely.Retrieval-Augmented Generation (RAG): Building vector search pipelines with Pinecone, parent-child chunking, hybrid search, and re-ranking.AI Agents & Workflows: ReAct agent loops, LangChain.js, and stateful cyclic graphs with LangGraph.js and human-in-the-loop approvals.Model Context Protocol (MCP): Interoperating with standardized MCP tool servers using atmodelcontextprotocol/sdk.Production Engineering: Golden dataset evaluations, LangSmith telemetry, token cost optimization, and OWASP AI Security guardrails.Stop learning AI as a collection of buzzwords. Learn how to engineer useful, production-ready AI applications today! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9798194609130
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