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OpenAI API Explained: Learn GPT, Codex, Fine-Tuning & Zero-Shot Classification Using Python

Are you interested in leveraging the power of AI to enhance your trading or programming projects? Look no further! This tutorial on the OpenAI API is exactly what you need to take your skills to the next level.

This tutorial will cover the essential aspects of the OpenAI API, including GPT, Codex, fine-tuning models, and zero-shot classification. You’ll learn how to use these tools to generate natural language text, write code, improve existing models, and classify text with no training data.

By the end of this tutorial, you’ll have the skills and knowledge necessary to take full advantage of the OpenAI API and use it to create state-of-the-art AI models.

Video Chapters0:00 Intro1:15 Get OpenAI API Key1:44 Install OpenAI Using Pip3:22 OpenAI API Authentication6:25 A Primer On OpenAI Models8:12 Using the OpenAI Playground9:30 Prompt Engineering10:34 Using OpenAI Models for Text Completion14:26 OpenAI Text Generation17:00 OpenAI Text Editing19:33 Using OpenAI Codex to Complete Code25:17 OpenAI DALL-E Image Creation27:18 Editing Images Using OpenAI29:27 Create Image Variations Using OpenAI31:26 OpenAI Mini Project31:28 Understanding Fine-Tuning32:40 Get Kaggle Sentiment Data36:29 Use OpenAI CLI Tools to Generate JSONL37:54 Create OpenAI Model Training File39:04 Learn How to Fine Tune OpenAI ADA Model40:35 Testing Fine-tuned OpenAI ADA Model44:03 Understanding OpenAI Embeddings46:58 Get OpenAI Embeddings49:40 Training RandomForestClassifier Using OpenAI Embeddings54:46 Zero-Shot Classification Using OpenAI Embeddings57:00 Outro

Tags#openai#python#chatgpt

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