OpenAI Introduces Custom GPTs
By Adam Pease
OpenAI Introduces Custom GPTs
At its most recent DevDay key note, OpenAI announced a set of new features that will be available to developers, consumers, and enterprises, for its generative AI services.
This blog focuses on the announcement of custom GPTs and its implications for the enterprise.
What Are CustomGPTs?
Until now, users have been able to interact with ChatGPT through its base model, which is a general agent trained on a wide variety of knowledge.
While this has proved surprisingly capable for many valuable business tasks, there are still limitations to the power of a general agent. What many building AI products and working with AI are looking for is a more configurable, case-specific tool that can respond to their unique working environment.
Enter GPTs, OpenAI’s new solution to making generative AI core configurable and customizable. Users can now build GPT-style agents for their specific tasks and organizations, tuning these agents on data that their organization uses every day, and coaching them to respond in more precise and controlled ways to user input.
At its keynote, OpenAI demonstrated several examples, including a sophisticated travel booking application that could interact with several external APIs.
Moving Towards a Future of Agents
The word ‘agent’ came up regularly during OpenAI CEO Sam Altman’s address, suggesting that we are headed towards a future where thinking about AI in terms of yesterday’s chatbots will feel increasingly inadequate to describe the levels of intelligence that will be working alongside us.
For developers, the launch of more configurable agents—as well as a great deal of other quality of life updates—will make it possible to create a wider variety of applications with GPT-4 faster, and to connect to external systems and data sources more easily.
End-users and enterprise buyers can also look forward to a future where AI responds more directly and specifically to their unique needs. Altman also teased the upcoming custom model program OpenAI will be conducting in partnership with large enterprises.
Going beyond the configuration of GPT agents, these custom models will leverage high-quality enterprise data to construct new, more capable models that are directly trained on business-critical information.
Bottom Line
We are moving towards an era defined by increasingly autonomous agents in the workplace. OpenAI is leading the race to general intelligence with its ongoing attention to creating more capable, specialized AI agents.
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This blog 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
Blog 29: OpenAI Brings Custom Instructions to ChatGPT
Blog 30: New York Times Limits Use of Data for Generative AI
Blog 31: Faced With Generative AI, Teachers Are Returning to Paper and Pen
Blog 32: Anthropic Partners with SKT for Telecom Language Model
Blog 33: Federal Judge Rules AI-Generated Works Are Not Copyright-Protected
Blog 34: AI in the Classroom: A Reflection on Gwinnett County’s Trailblazing Initiative
Blog 35: Zoom’s New Generative AI Push
Blog 36: Google Will Flag AI-Generated Content
Blog 37: Writer Is Helping Bring Generative AI to the Enterprise
Blog 38: ChatGPT Gains Internet Access
Blog 39: OpenAIs DALL-E 3 Meets Bing AI Services: A New Era in Image Generation
Blog 40: AI’s Integration into Modern Healthcare
Blog 41: Nvidia and the Escalating Chip War With China
Blog 42: Universal Music Group Takes Anthropic AI to Court for Copyright Infringement
Blog 43: OpenAI Extends ChatGPT Cut-Off Window
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