500
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1
Speakers
14
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3
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About
Special attention is paid to the transition from Prompt Engineering to Context Engineering: how to build systems where the model works stably within the given rules, knowledge, and tools. You will learn how to use LLM as a backend component, build RAG solutions, connect external tools, work with structured responses, and optimize token usage in real production scenarios.
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Crash Course: Deep Dive into LLM APIs
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SUBMIT AN APPLICATION
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Video Course: Deep Dive into LLM APIs
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