Lecture
Comparing Responses of General vs Fine-tuned Models
In this lesson, we will compare the results of a general AI model and an AI model fine-tuned for a specific topic.
Introduction to the Practice Environment
On the left is the gpt-3.5-turbo AI model, and on the right is the AI model fine-tuned to be a Casual Tone Bot.
Practice
- Copy: Copy the prompt below.
Example Prompt
Hello, nice to meet you.
-
Enter Prompt: Paste the copied prompt into the input box and press the
Enterkey. -
Compare Results: Check the results of both AI models.
Lessons in this chapter · Preparing Learning Data
- 1. Data Formats Used for Training AI
- 2. Deep Dive into JSON Data Format
- 3. Fuel for Fine-Tuning (JSONL)
- 4. JSONL Format for Fine-Tuning
- 5. Preparing to Train AI (Dataset Essentials)
- 6. Types of Datasets Used in AI Training
- 7. How to Split a Dataset
- 8. Preparing Data for Consumption (Preprocessing)
- 9. What Data Formats Do Different AI Models Use?
- 10. Creating a JSONL Dataset
- 11. Comparing Responses of General vs Fine-tuned Models
- 12. Multiple-choice quiz
Quiz
0 / 1
Check out the AI's response.
Lecture
AI Tutor
Design
Upload
Notes
Favorites
Help