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🚀Hey everyone! In this video, we'll learn how to use GPT-3 in Python via the OpenAI API (note that GPT-3 is pretty much the model behind ChatGPT). We'll cover how to set up an OpenAI account, an overview of the API 's pricing, how to get your API secret key, and use a notebook with Python code that performs inference on prompts using GPT-3 and the OpenAI API. I'll also show you how to visualize prompts and completions using W&B Tables, and give you examples of tasks you can do with GPT-3. Lastly, I'll show you how to use a fine-tuned GPT-3 model in Python via the API as well. Hope you enjoy it! --- Links: 📍Google Colab notebook with code (try it out yourself!): http://wandb.me/gpt-3-in-python 📍Video I created about fine-tuning GPT-3 to generate new Doctor Who episode synopses: • Fine-tuning GPT-3 with OpenAI API and... 📍Text version of this video: https://wandb.ai/ivangoncharov/GPT-3%... 📍OpenAI API docs: https://platform.openai.com/docs/api-... 📍OpenAI Fine-tuning docs: https://platform.openai.com/docs/guid... 📍Weights & Biases: https://wandb.ai/site 📍OpenAI GPT-3 API Pricing (find relevant info here): https://openai.com/pricing --- ⏳ Timestamps ⏳ 00:00 Intro 00:36 Why you want to use GPT-3 in Python via the API 01:50 Setting up an OpenAI account 03:38 OpenAI API Pricing Overview 04:30 Getting an OpenAI API Secret Key 05:37 Notebook with Python code 08:08 Performing inference on our prompt using the GPT-3 API 10:48 Visualizing prompts and completions using W&B Tables 11:41 Examples of tasks you can do with GPT-3 15:26 Using fine-tuned GPT-3 model in Python via the API 19:11 Outro -- Follow Ivan: 👉 Twitter: / ivangrov 👉 YouTube: / ivangoncharovai Get started with W&B: http://wandb.me/intro Follow us: Twitter: / weights_biases Linkedin: / weights-biases Thanks for watching! If you have any questions, please don't hesitate to ask! If you have any suggestions, please don't hesitate either! We love hearing from the community and look forward to seeing you join our community!