--- title: Choosing the right technique: Prompt engineering vs... description: AI models rely on prompt engineering and fine-tuning techniques to improve performance and generate contextually relevant results. Prompt engineering involves... canonical: https://daily.dev/posts/choosing-the-right-technique-prompt-engineering-vs-fine-tuning-5ylcf8vne twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Choosing the right technique: Prompt engineering vs fine-tuning | daily.dev og:description: AI models rely on prompt engineering and fine-tuning techniques to improve performance and generate contextually relevant results. Prompt engineering involves... og:url: https://daily.dev/posts/choosing-the-right-technique-prompt-engineering-vs-fine-tuning-5ylcf8vne og:image: https://api.daily.dev/og/posts/5ylcF8vNE.png og:image:alt: Choosing the right technique: Prompt engineering vs fine-tuning 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. # Choosing the right technique: Prompt engineering vs fine-tuning **[Data Science Central](https://daily.dev/sources/ds_central)** · 4 min read · 3 upvotes · 0 comments ## Summary AI models rely on prompt engineering and fine-tuning techniques to improve performance and generate contextually relevant results. Prompt engineering involves crafting optimal prompts to influence AI model outputs, while fine-tuning customizes pre-trained models to specific tasks. Both techniques play different roles in enhancing AI model performance. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#data-science](https://daily.dev/tags/data-science), [#deep-learning](https://daily.dev/tags/deep-learning), [#genai](https://daily.dev/tags/genai), [#llm](https://daily.dev/tags/llm), [#chatgpt](https://daily.dev/tags/chatgpt), [#prompt-engineering](https://daily.dev/tags/prompt-engineering), [#bard](https://daily.dev/tags/bard) [View this post on daily.dev](https://daily.dev/posts/choosing-the-right-technique-prompt-engineering-vs-fine-tuning-5ylcf8vne) ```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":"Choosing the right technique: Prompt engineering vs fine-tuning","url":"https://daily.dev/posts/choosing-the-right-technique-prompt-engineering-vs-fine-tuning-5ylcf8vne","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/choosing-the-right-technique-prompt-engineering-vs-fine-tuning-5ylcf8vne"},"datePublished":"2024-01-30T13:55:41.744Z","dateModified":"2024-05-09T09:21:59.549Z","description":"AI models rely on prompt engineering and fine-tuning techniques to improve performance and generate contextually relevant results. 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