
blog.langchain.dev/few-shot-prompting-to-improve-tool-calling-performance
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https://blog.langchain.dev/few-shot-prompting-to-improve-tool-calling-performance
Few-shot prompting to improve tool-calling performance
We ran a few experiments, which show how few-shot prompting can significantly enhance model accuracy - especially for complex tasks. Read on for how we did it (and the results).
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Few-shot prompting to improve tool-calling performance
https://blog.langchain.dev/few-shot-prompting-to-improve-tool-calling-performance
We ran a few experiments, which show how few-shot prompting can significantly enhance model accuracy - especially for complex tasks. Read on for how we did it (and the results).
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Few-shot prompting to improve tool-calling performance
We ran a few experiments, which show how few-shot prompting can significantly enhance model accuracy - especially for complex tasks. Read on for how we did it (and the results).
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9- titleFew-shot prompting to improve tool-calling performance
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- descriptionWe ran a few experiments, which show how few-shot prompting can significantly enhance model accuracy - especially for complex tasks. Read on for how we did it (and the results).
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8- og:site_nameLangChain Blog
- og:typearticle
- og:titleFew-shot prompting to improve tool-calling performance
- og:descriptionWe ran a few experiments, which show how few-shot prompting can significantly enhance model accuracy - especially for complex tasks. Read on for how we did it (and the results).
- og:urlhttps://blog.langchain.dev/few-shot-prompting-to-improve-tool-calling-performance/
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- twitter:titleFew-shot prompting to improve tool-calling performance
- twitter:descriptionWe ran a few experiments, which show how few-shot prompting can significantly enhance model accuracy - especially for complex tasks. Read on for how we did it (and the results).
- twitter:urlhttps://blog.langchain.dev/few-shot-prompting-to-improve-tool-calling-performance/
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22- https://arxiv.org/abs/2005.14165?ref=blog.langchain.dev
- https://arxiv.org/abs/2210.03629?ref=blog.langchain.dev
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- https://blog.langchain.dev/easier-evaluations-with-langsmith-sdk-v0-2
- https://blog.langchain.dev/end-to-end-opentelemetry-langsmith