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Principles of Building AI Agents
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(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!
| Lieferstatus: |
 i.d.R. innert 7-14 Tagen versandfertig |
| Veröffentlichung: |
Februar 2025
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| Genre: |
Ratgeber |
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agents / AI / llm |
| ISBN: |
9798868911781 |
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EAN-Code:
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9798868911781 |
| Verlag: |
Sam Bhagwat |
| Einband: |
Kartoniert |
| Sprache: |
English
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| Dimensionen: |
H 203 mm / B 127 mm / D 8 mm |
| Gewicht: |
153 gr |
| Seiten: |
134 |
| Bewertung: |
Titel bewerten / Meinung schreiben
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| Inhalt: |
| Rapid advances in large language models (LLMs) have made new kinds of AI applications, known as agents, possible. Written by a veteran of web development, Principles of Building AI Agents focuses on the substance without hype or buzzwords. This book walks through: ¿ The key building blocks of agents: providers, models, prompts, tools, and memory. How to break down complex tasks with agentic workflows. Giving agents access to knowledge bases with RAG (retrieval-augmented generation). If you're trying to build agents or assistants into your product, you need to read "Principles" ASAP - Peter Kazanjy, Author of Founding Sales and CEO of Atrium. Sam Bhagwat is the founder of Mastra, an open-source JavaScript agent framework, and previously the co-founder of Gatsby, the popular React framework. |
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