Overview
Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Learn to fine-tune AI language models to replicate your unique writing style and voice through this comprehensive 28-minute tutorial. Discover the complete process of personalizing AI output by collecting your own content from social media platforms like Twitter, cleaning and preparing the data, and using accessible tools to train a language model without requiring advanced technical skills. Follow along with a step-by-step demonstration that covers exporting Twitter data, preprocessing tweets using ChatGPT, uploading files to Nebius platform, downloading model weights, and testing the results in a playground environment. See real-world results from training an LLM on personal content and gain practical insights for creators looking to maintain their authentic voice in AI-generated copywriting, social media posts, and video scripts. The tutorial includes timestamps for easy navigation through each phase: introduction to fine-tuning concepts, live demonstration of a tuned model, detailed walkthrough of the entire process, data export procedures, content preparation techniques, platform upload steps, model weight management, and testing methodologies.
Syllabus
00:00 Intro
00:48 Fine-Tuning Explained
02:56 Demo: My Tuned Model
08:46 Step-by-Step Walkthrough
10:42 Step 1: Export X Data
12:25 Step 2: Prep Tweets with ChatGPT
15:09 Step 3: Upload Files to Nebius
19:57 Step 5: Download Model Weights
21:11 Step 6: Test in Playground
26:04 Outro
Taught by
Matt Wolfe