Miha Cacic of ENTRY POINT
Learn how to fine-tune GPT-3 (and other) AI models without writing a single line of python code.
In this video I’ll show you how to create your own custom AI models out of GPT-3 for specialized use cases that can work better than ChatGPT. For demonstration, I’ll be working on a classifier AI model for categorizing keywords from Google Ads campaigns. And I’ll be using Entry Point which will help us fine-tune a GPT-3 model without writing a single line of code.
We’ll cover key features, including:
– Creating classifier models without coding
– Uploading CSV files with keyword data
– Defining custom categories for classification
– Fine-tuning AI models using OpenAI or other language model providers
– Testing and implementing your AI model in real-life projects
Throughout the tutorial, I’ll be using Entry Point – a platform for no-code fine-tuning. Its user-friendly interface lets you manage large datasets effortlessly and even collaborate with a team to ensure high-quality data for fine-tuning.
If you would like to try Entry point for free, go to https://www.entrypointai.com !