---
title: "Bridging the Gap: Fine-Tuning Phi-3 for SQL Query Generation with Natural Language Queries:"
url: https://daily.dev/posts/bridging-the-gap-fine-tuning-phi-3-for-sql-query-generation-with-natural-language-queries--biyqxmqgy
source_url: https://blog.gopenai.com/bridging-the-gap-fine-tuning-phi-3-for-sql-query-generation-with-natural-language-queries-8fbe6a58b1ec
type: article
source: "GoPenAI"
published: 2024-05-15T11:21:56.683Z
updated: 2024-05-15T11:21:55.839Z
tags: ["data-science", "deep-learning"]
reading_time: 7
upvotes: 2
comments: 0
language: en
---

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# Bridging the Gap: Fine-Tuning Phi-3 for SQL Query Generation with Natural Language Queries:

**[GoPenAI](https://daily.dev/sources/gopenai)** · 7 min read · 2 upvotes · 0 comments

## Summary

This post discusses the process of fine-tuning Phi-3 for SQL query generation. It covers the steps involved in data preparation, choosing the right Phi-3 variant, and leveraging Unsloth for efficient fine-tuning. Advanced techniques like transfer learning and active learning are also explored.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.gopenai.com/bridging-the-gap-fine-tuning-phi-3-for-sql-query-generation-with-natural-language-queries-8fbe6a58b1ec>

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---

Tags: [#data-science](https://daily.dev/tags/data-science), [#deep-learning](https://daily.dev/tags/deep-learning)

[View this post on daily.dev](https://daily.dev/posts/bridging-the-gap-fine-tuning-phi-3-for-sql-query-generation-with-natural-language-queries--biyqxmqgy)