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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