Site icon Aragon Research

OpenAI Brings Custom Instructions to ChatGPT

By Adam Pease

OpenAI Brings Custom Instructions to ChatGPT

OpenAI recently announced that it would be adding a new feature, custom instructions, for ChatGPT. This innovative functionality is designed to better align ChatGPT with user needs, and will be initially available for the Plus plan, with a broader roll-out scheduled over the coming weeks.

This blog discusses the news and its implications for the generative AI market.

What Are Custom Instructions?

Custom Instructions is a response to user feedback concerning the repetitive aspect of starting each ChatGPT conversation from scratch. The OpenAI team has interacted with users from a variety of countries and learned about the importance of aligning AI behavior with diverse user contexts and individual requirements.

With this new feature, users can define their preferences or requirements, and ChatGPT will take these into account in all future conversations, eliminating the need to repeat the same information in every session. For instance, a teacher can specify that they’re teaching 3rd grade science, and this preference will be remembered by the model in subsequent conversations.

Similarly, a programmer can define a preference for efficient code in a specific non-Python language, or a parent can set a requirement for grocery lists to include quantities for six servings.

What’s Next for Generative AI?

The announcement of custom instructions suggests that the application capabilities of generative AI are just now coming online. It solves a big problem faced by generative AI users—the need to continuously re-prompt and re-prime language models in new sessions given new context.

Equipped with custom instructions, users can define a predetermined template of behavior that they can revisit in future sessions, eliminating repetitive work and preserving best practices throughout an organization.

Generative AI is still very new, and organizations are still learning how to leverage it most effectively and to build applications around it well. Custom instructions represent just one highly-desired feature that is coming online for language models, and it will no doubt expand the utility of these tools in ways that we can expect to continue growing over time.

One sign of this is the way that custom instructions can be integrated with another existing ChatGPT feature, plugins, to construct persistent instructions that will integrate with outside systems and APIs.

Bottom Line

The race to more sophisticated generative AI is not slowing down. While OpenAI’s announcement marks just one critical emerging feature for LLM-based applications, it suggests to Aragon that organizations should expect the capabilities of these tools to continue to grow in more flexible and user-friendyl ways in the near future.


How Can You Use AI to Help Combat and Survive these AI-Powered Cybersecurity Attacks? 

Tune in for our complimentary webinar on August 17th, 2o23 | 10 AM PT / 1 PM ET

 

Cybercriminals are aggressively weaponizing artificial intelligence (AI) to launch increasingly effective cyberattacks against organizations. These cybercriminals are using AI to launch sophisticated and stealthy cyberattacks, such as creating realistic deep fakes, generating malware that can evade detection systems, creating convincing phishing emails, or identifying and exploiting vulnerabilities in real-time.

In this webinar, you will learn how AI can help you fight fire with fire to combat and survive these AI-powered cybersecurity attacks.

Some key areas we’ll cover:

Sign Up Today


 

This blog on is part of the Content AI blog series by Aragon Research’s Analyst, Adam Pease.

Missed the previous installments? Catch up here:

Blog 1: RunwayML Foreshadows the Future of Content Creation

Blog 2: NVIDIA Enters the Text-to-Image Fray

Blog 3: Will OpenAI’s New Chatbot Challenge Legacy Search Engines?

Blog 4: Adobe Stock Accepts Generative Content and Meets Backlash

Blog 5: OpenAI Makes a Move for 3D Generative Content with Point-E

Blog 6: ChatGPT and the Problem of Detecting AI-Generated Content

Blog 7: Content AI: Voice AI Takes a Step Forward

Blog 8: AI in the Courtroom: Are Robot Lawyers the Future of Law?

Blog 9: GitHub Copilot and the Legality of Generative Content

Blog 10: Google Steps into the Chat AI Ring with Bard, Anthropic Investment

Blog 11: Exploring Google Bard’s Botched Demo

Blog 12: Meta AI Is Working at the Intersection of Robotics and Generative AI

Blog 13: Meta’s New AI Model Leaks

Blog 14: Students in China Use ChatGPT from Behind the Firewall

Blog 15: OpenAI’s ChatGPT API Will Transform Application Experiences

Blog 16: Microsoft Announces Copilot X, GPT-4 Integration

Blog 17: BloombergGPT Brings Generative AI to Finance

Blog 18: Stability AI Releases Its First Large Language Model: StableLM

Blog 19: OpenAI to Patent ‘GPT’

Blog 20: Pinecone and the Power of Vector Databases for AI

Blog 21: Alphabet Plans New Generative AI Announcements for Google I/O

Blog 22: Europe Moves to Regulate Generative AI

Blog 23: OpenAI Introduces Code Interpreter Plugin for ChatGPT

Blog 24: Generative AI and the Labor Market: Is It Causing Job Loss?

Blog 25: OpenAI Announces Function Calling for Its GPT-4 API

Blog 26: The State of Open-Source Language Models

Blog 27: The State of Generative Video

Blog 28: Google’s “Genesis”: A News Writing AI Shocking Journalists

Exit mobile version