--- title: Enhancing LLM Performance: Prompt Engineering | daily.dev description: The post discusses enhancing LLM performance through prompt engineering in Snowflake Cortex. It explores how to set up an experiment to get better results... canonical: https://daily.dev/posts/enhancing-llm-performance-prompt-engineering-bl1grrh3a twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Enhancing LLM Performance: Prompt Engineering | daily.dev og:description: The post discusses enhancing LLM performance through prompt engineering in Snowflake Cortex. It explores how to set up an experiment to get better results... og:url: https://daily.dev/posts/enhancing-llm-performance-prompt-engineering-bl1grrh3a og:image: https://api.daily.dev/og/posts/Bl1GRrH3a.png og:image:alt: Enhancing LLM Performance: Prompt Engineering og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Enhancing LLM Performance: Prompt Engineering **[Infostrux](https://daily.dev/sources/infostrux)** · 6 min read · 2 upvotes · 0 comments ## Summary The post discusses enhancing LLM performance through prompt engineering in Snowflake Cortex. It explores how to set up an experiment to get better results using prompt engineering, create a pipeline for running in parallel, and log the results in the Weights & Biases(W&B) Platform. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#snowflake](https://daily.dev/tags/snowflake), [#prompt-engineering](https://daily.dev/tags/prompt-engineering) [View this post on daily.dev](https://daily.dev/posts/enhancing-llm-performance-prompt-engineering-bl1grrh3a) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Enhancing LLM Performance: Prompt Engineering","url":"https://daily.dev/posts/enhancing-llm-performance-prompt-engineering-bl1grrh3a","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/enhancing-llm-performance-prompt-engineering-bl1grrh3a"},"datePublished":"2024-05-14T13:47:49.866Z","dateModified":"2024-05-14T13:47:48.931Z","description":"The post discusses enhancing LLM performance through prompt engineering in Snowflake Cortex. It explores how to set up an experiment to get better results...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/7572a8369846337e894f696dcf016233?_a=AQAEuiZ","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/7572a8369846337e894f696dcf016233?_a=AQAEuiZ","isAccessibleForFree":true,"articleSection":"Infostrux","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Infostrux","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/76e00b76747744cab26a08ea22507ba6","url":"https://daily.dev/sources/infostrux"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/enhancing-llm-performance-prompt-engineering-bl1grrh3a","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"data-engineering,snowflake,prompt-engineering","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Infostrux","item":"https://daily.dev/sources/infostrux"},{"@type":"ListItem","position":3,"name":"Enhancing LLM Performance: Prompt Engineering"}]} ```