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Home»ADOPTION NEWS»OpenAI: Paf leverages 85 custom GPTs to improve developer productivity
ADOPTION NEWS

OpenAI: Paf leverages 85 custom GPTs to improve developer productivity

By Crypto FlexsJune 18, 20242 Mins Read
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OpenAI: Paf leverages 85 custom GPTs to improve developer productivity
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In a significant move to improve developer productivity, Paf’s engineering team developed 85 custom GPTs. According to OpenAI, these custom GPTs are actively being leveraged by engineers to accelerate routine development tasks.

Adopt ChatGPT Enterprise

Paf adopts ChatGPT Enterprise across its organization. Engineers utilize these custom GPTs every day, and the results are measurable improvements in efficiency. The integration of ChatGPT Enterprise is part of Paf’s broader strategy to streamline operations and drive innovation within the company.

Integration into grit:lab coding academy

In addition to increasing productivity within its engineering team, Paf integrated ChatGPT Enterprise into its Grit:Lab coding academy. This integration aims to train the next generation of software developers using advanced AI tools. Known for its rigorous coding programs, the academy has now integrated these custom GPTs to give students hands-on experience leveraging AI in software development.

Impact on developer training

Integrating custom GPT into grit:lab’s curriculum is expected to have a significant impact on how future developers are trained. By integrating AI into the learning process, students gain valuable insights and practical skills that are increasingly relevant to the technology industry. This move is in line with the trend of integrating AI tools into educational programs to better prepare students for the evolving needs of the software development field.

Widespread impact on the industry

Paf’s initiative reflects a broader trend within the technology industry, where companies are increasingly adopting AI to improve productivity and innovation. The development and implementation of a custom GPT represents an important step toward a more efficient and intelligent approach to software development. As AI continues to advance, these integrations are likely to become more common, fueling progress in the field.

For more information, please visit official sources.

Image source: Shutterstock



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