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In den WarenkorbPaperback. Zustand: New. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation-or RAG-enhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!In A Simple Guide to Retrieval Augmented Generation you'll learn: The components of a RAG systemHow to create a RAG knowledge baseThe indexing and generation pipelineEvaluating a RAG systemAdvanced RAG strategiesRAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files.
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Sprache: Englisch
Verlag: Manning Publications, New York, 2025
ISBN 10: 1633435857 ISBN 13: 9781633435858
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Paperback. Zustand: new. Paperback. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generationor RAGenhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!In A Simple Guide to Retrieval Augmented Generation you'll learn: The components of a RAG systemHow to create a RAG knowledge baseThe indexing and generation pipelineEvaluating a RAG systemAdvanced RAG strategiesRAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Paperback. Zustand: New. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation-or RAG-enhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!In A Simple Guide to Retrieval Augmented Generation you'll learn: The components of a RAG systemHow to create a RAG knowledge baseThe indexing and generation pipelineEvaluating a RAG systemAdvanced RAG strategiesRAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files.
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In den WarenkorbZustand: New. 2025. 1st Edition. paperback. . . . . .
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Sprache: Englisch
Verlag: Manning Publications, New York, 2025
ISBN 10: 1633435857 ISBN 13: 9781633435858
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In den WarenkorbPaperback. Zustand: new. Paperback. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generationor RAGenhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!In A Simple Guide to Retrieval Augmented Generation you'll learn: The components of a RAG systemHow to create a RAG knowledge baseThe indexing and generation pipelineEvaluating a RAG systemAdvanced RAG strategiesRAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Paperback. Zustand: New. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation-or RAG-enhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!In A Simple Guide to Retrieval Augmented Generation you'll learn: The components of a RAG systemHow to create a RAG knowledge baseThe indexing and generation pipelineEvaluating a RAG systemAdvanced RAG strategiesRAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files.
Sprache: Englisch
Verlag: Manning Publications, New York, 2025
ISBN 10: 1633435857 ISBN 13: 9781633435858
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Paperback. Zustand: new. Paperback. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generationor RAGenhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!In A Simple Guide to Retrieval Augmented Generation you'll learn: The components of a RAG systemHow to create a RAG knowledge baseThe indexing and generation pipelineEvaluating a RAG systemAdvanced RAG strategiesRAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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In den WarenkorbPaperback. Zustand: New. Everything you need to know about Retrieval Augmented Generation in one human-friendly guide.Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation-or RAG-enhances an LLM's available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it's also easy to understand and implement!In A Simple Guide to Retrieval Augmented Generation you'll learn: The components of a RAG systemHow to create a RAG knowledge baseThe indexing and generation pipelineEvaluating a RAG systemAdvanced RAG strategiesRAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company's policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization's minutes, notes, and files.