Introducing the GPT Store and ChatGPT Team

OpenAI has launched the GPT Store for ChatGPT Plus, Team, and Enterprise users, allowing access to over 3 million custom versions of ChatGPT created by users and partners. The store features a variety of GPTs in categories like DALL·E, writing, research, programming, education, and lifestyle, with new featured GPTs weekly. Some highlighted GPTs include AllTrails for personalized trail recommendations, Consensus for academic paper synthesis, Khan Academy’s Code Tutor, Canva for design, a book recommendation tool, and the CK-12 Flexi AI tutor for math and science.

Users can include their GPTs in the store by saving their GPT for everyone and verifying their Builder Profile. A new review system has been implemented to ensure GPTs adhere to OpenAI's policies. In Q1, a GPT builder revenue program will launch in the US, rewarding builders based on user engagement with their GPTs.

The new ChatGPT Team plan offers teams a private section in the GPT Store with secure GPT publishing. The GPT Store will soon be available to ChatGPT Enterprise customers with enhanced admin controls. OpenAI emphasizes that conversations with GPTs on the Team and Enterprise plans are not used to improve the models.

Pricing for ChatGPT Team is set at $25 per user per month when billed annually, or $30 per user per month on a monthly basis. Users can upgrade to this plan through their ChatGPT settings.

Pro Tip: If you've developed a unique and enriching GPT, you can submit a request here to have it featured in the GPT Store. more info here.

P.S. Superpower ChatGPT Pro users can already enjoy the enhanced version of the GPT Store with thousands of GPTs listed and more features added soon. There will also be team features implemented in Superpower ChatGPT to allow working with others. Stay tuned.

Your SOC 2 Compliance Checklist from Vanta

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New Short Course: Build LLM Apps with LangChain.js

What you’ll learn in this course

JavaScript is the world’s most popular programming language, and now developers can program in JavaScript to build powerful LLM apps.

This course will show webdevs how to expand their toolkits with LangChain.js, a popular JavaScript framework for building with LLMs, and will cover useful concepts for creating powerful, context-aware applications.

By taking this course, you will:

• Learn to use LangChain’s underlying abstractions to build your own JavaScript apps

• Understand the basics of retrieval augmented generation (RAG)

• Have the structure of a basic conversational retrieval system that you can use for building your own chatbots

Other stuff

• China is just handing US their AI talent

• Dall-E 3 captioning hack for better text on images

• CES 2024: The weirdest tech, gadgets and AI claims from Las Vegas

• Avi Schiffmann’s Tab AI necklace has raised $1.9 million to replace God

• This is where you can request to opt out from your data being used to train ChatGPT

• Meistrari didn’t see a good solution for prompt engineering, so it’s building one

• Thousands of Software Engineers Say the Job Market Is Getting Much Worse

• How to create AI comic books with some help from ChatGPT

Mastering ChatGPT: Unlock the Power of Prompt Templates & Supercharge Your Workflow!

Hope you enjoyed today's newsletter