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ChatGPT Plugins: Build Your Own in Python!

Generative AI and LLMs

OpenAI's ChatGPT now has plugins! Creatively named "ChatGPT Plugins", this new feature means plugins can be built by anyone, and in this video, we will see how to build one using the chatgpt-retrieval-plugin template from OpenAI. 🔗 openai/chatgpt-retrieval-plugin Repo: https://github.com/openai/chatgpt-retrieval-plugin 🔗 OpenAI platform: https://platform.openai.com/ 🔗 Pinecone console: https://app.pinecone.io/ 🔗 Find the code here: https://github.com/pinecone-io/examples/blob/master/learn/generation/openai/chatgpt/plugins/langchain-docs-plugin.ipynb ▶️ Langchain data prep video: https://youtu.be/eqOfr4AGLk8 🔗 openapi.yaml I used: https://gist.github.com/jamescalam/709f83e4515975df832bf06c8a33ff26 👋🏼 NLP + LLM Consulting: https://aurelio.ai 🎙️ Support me on Patreon: https://patreon.com/JamesBriggs 👾 Discord: https://discord.gg/c5QtDB9RAP 👋🏼 Socials: Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ Instagram: https://www.instagram.com/jamescalam/ 00:00 ChatGPT Plugins 00:53 Plugins or LLM agents? 02:46 First look at ChatGPT plugins 05:02 Using the chatgpt-retrieval-plugin 06:45 How the plugin works 12:06 Deploying the plugin with digital ocean 15:15 ChatGPT retrieval plugin environment variables 18:42 Adding langchain docs to chatgpt plugin 26:02 Querying the chatgpt retrieval plugin 27:46 Adding the plugin to ChatGPT 28:52 Setup for ChatGPT plugin manifest file 32:47 Install unverified plugins on ChatGPT 33:41 Handling OpenAPI spec error 37:04 Asking ChatGPT plugin questions 39:45 Final thoughts on ChatGPT plugins #chatgpt #artificialintelligence #nlp

About the course

The Generative AI and Large Language Models (LLMs) course covers everything you need to know about: - Generative AI - Large Language Models (LLMs) - OpenAI, Cohere, Hugging Face - Managed vs. Open Source - LLM Libraries like LangChain and GPT Index - Long-term memory and retrieval-augmentation And more to come...