---
title: "Fine-Tuning AI Models for Extractive Question Answering in Elixir"
url: https://daily.dev/posts/fine-tuning-ai-models-for-extractive-question-answering-in-elixir-m1r7hnqnk
source_url: https://curiosum.com/blog/fine-tuning-distilbert-model-in-elixir
type: article
source: "Curiosum"
published: 2024-05-14T12:05:12.625Z
updated: 2024-05-14T12:05:11.420Z
tags: ["ai", "machine-learning", "nlp", "elixir", "transformers"]
reading_time: 9
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.

# Fine-Tuning AI Models for Extractive Question Answering in Elixir

**[Curiosum](https://daily.dev/sources/curiosum)** · 9 min read · 2 upvotes · 0 comments

## Summary

Learn how to fine-tune DistilBERT model for extractive question answering in Elixir. Discover the basics of machine learning, natural language processing, and extractive question answering. Find out how to preprocess the training data, choose a suitable model, tokenize the data, and train the model. See how the fine-tuned model performs on different examples.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://curiosum.com/blog/fine-tuning-distilbert-model-in-elixir>

## 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: [#ai](https://daily.dev/tags/ai), [#machine-learning](https://daily.dev/tags/machine-learning), [#nlp](https://daily.dev/tags/nlp), [#elixir](https://daily.dev/tags/elixir), [#transformers](https://daily.dev/tags/transformers)

[View this post on daily.dev](https://daily.dev/posts/fine-tuning-ai-models-for-extractive-question-answering-in-elixir-m1r7hnqnk)