# How We Implemented Large Language Models (LLMs) in the 'Break Into Data' Server in 3 Simple Steps

DevFeed: [How We Implemented Large Language Models (LLMs) in the 'Break Into Data' Server in 3 Simple Steps](<https://devfeed.tech/articles/how-we-implemented-large-language-models-llms-in-the-break-into-data-server-in-3-simple-steps-39165.md>)

Original publisher: [Read original article](<https://merinova.substack.com/p/how-we-implemented-large-language>)

Author: Meri Nova

Published: 2024-02-22T00:19:17Z

Content type: tutorial

Language: en

Sources: [Meri Nova](<https://devfeed.tech/sources/meri-nova.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Discord](<https://devfeed.tech/topics/discord.md>), [Databases](<https://devfeed.tech/topics/databases.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>)

Tags: [database](<https://devfeed.tech/tags/database.md>), [discord](<https://devfeed.tech/tags/discord.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [integrate](<https://devfeed.tech/tags/integrate.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [llm](<https://devfeed.tech/tags/llm.md>), [messages](<https://devfeed.tech/tags/messages.md>), [openai](<https://devfeed.tech/tags/openai.md>)

## AI overview

A tutorial describing how the Break Into Data Discord community replaced screenshot-based accountability tracking with an LLM integration that parses natural-language submissions into structured metrics stored in a database. The article explains the limitations of the previous system and the tradeoffs between using forms and an LLM.

## Source excerpt

Learn How To Integrate OpenAI's LLM to Parse, Organize, and Store Discord Messages in A Database.