Principles of Building AI Agents Book by SAM. BHAGWAT
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, memory
- How to break down complex tasks with agentic workflows
- Giving agents access to knowledge bases with RAG (retrieval-augmented generation)
- Agent observability with tracing and evals
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$0.43Principles of Building AI Agents Book by SAM. BHAGWAT
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, memory
- How to break down complex tasks with agentic workflows
- Giving agents access to knowledge bases with RAG (retrieval-augmented generation)
- Agent observability with tracing and evals
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Description
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, memory
- How to break down complex tasks with agentic workflows
- Giving agents access to knowledge bases with RAG (retrieval-augmented generation)
- Agent observability with tracing and evals
