WEBVTT

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Three pillars of integrating large language models into products

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Utilizing chat completion requests and managing context length

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Applying prompt engineering best practices for reliable model outputs

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Designing system messages and mitigating prompt injection security risks

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Enhancing language models with backend logic using function calls

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Exploring retrieval augmented generation and advanced prompting techniques

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Addressing context limits inference costs and reliable json generation