--- title: "Enhancing LLM Performance: Prompt Engineering" url: https://daily.dev/posts/enhancing-llm-performance-prompt-engineering-bl1grrh3a source_url: https://blog.infostrux.com/enhancing-llm-performance-prompt-engineering-in-snowflake-cortex-part-2-fb9687b92a29 type: article source: "Infostrux" published: 2024-05-14T13:47:49.866Z updated: 2024-05-14T13:47:48.931Z tags: ["data-engineering", "snowflake", "prompt-engineering"] reading_time: 6 upvotes: 2 comments: 0 language: 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: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 0 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments --- 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)