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Finetune LLMs and Build AI Agents From Scratch
A hands-on Project to understand how LLMs and AI agents work together. (Free Colab Notebook)
10 min readApr 14, 2025
TL;DR
- Recruiters often struggle to understand technical job offers.
- We’ll overcome this challenge using AI techniques, LLMs fine-tuning, function calling, and AI agents.
- This guide shows you step-by-step how to build your own assistant using Llama 4 Scout, Gemini 2.5 PRO, and Qwen 2.5.
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Introduction
Recruiting for tech jobs can be tricky. Many recruiters face challenges when reading job descriptions for roles like DevOps Engineer or IT Helpdesk Manager, the technical terms can be confusing, and this slows down the hiring process.
The main focus of this tutorial, is to explain LLM Finetuning, Function calling and simple AI agents, and this will applied to solve the previous challenge by creating a recruitment assistant application.
We’ll break everything down step by step with providing all the necessary code and data. From generating training data to building a full AI agent, we’ll walk through each stage. Everything is practical and easy to follow.
