Transform your data into useful insights within 10 minutes using GPTs and APIs.

With GPTs, turn data into insights in just 10 mins! Create your own custom GPT, analyze real-time data, and get accurate, timely recommendations. We're building the open Source Benchmark app, using public and private APIs to compare open source projects. Get hands-on and interactive with GPTs. Let's do it! 👩‍💻📊✨

Overview

open air has introduced a new exciting feature called GPTs, which allows users to create custom GPTs and analyze data from both public and private APIs. This tutorial will provide a step-by-step guide on building a real analytical GPT app, leveraging real-time data to generate accurate and timely insights.

Open Source Benchmark GPT

By connecting GPT with real-time data APIs, the resulting insights and recommendations are incredibly accurate, timely, and reliable. The open-source Benchmark GPT utilizes data from GitHub and private data APIs to create a solution for real-world problems.

Creating Your GPT

The process of creating a GPT involves defining the workflow, output format, and conversation starters. The GPT can also retrieve data from both public and private APIs, ensuring accurate and relevant insights.

Leveraging Public APIs

Public APIs, such as the chart history from open-source websites, provide valuable data for analysis and comparison. Utilizing public APIs for data retrieval ensures the accuracy and relevance of the insights generated by the GPT.

Using GitHub Public APIs

GitHub's public APIs offer valuable data for analysis, including star history, metadata, and followers of GitHub repositories. Authentication and authorization are required to retrieve data from GitHub, ensuring the security and integrity of the data.

Integration with Private APIs

Leveraging a fully managed service like HDB Cloud Data Service allows for the integration of private APIs with the GPT. This service offers operational features such as scalability, high availability, security, and reliability, ensuring the accuracy and relevance of the insights generated.

Analyzing Data with GPT

The GPT provides a framework for data analysis, offering insights into open-source metrics, Hacker News mentions, company distribution, technology insights, and user reviews. Utilizing the GPT as a senior data scientist allows for the generation of reliable insights for real-world problem-solving.

Conclusion

The tutorial provides insight into the process of building advanced analytical GPTs, utilizing data from both public and private sources. The integrated HDB Cloud Data Service allows for swift creation and customization of GPTs, providing accurate and timely insights for real-world problem-solving.

Key Takeaways:

• GPTs allow for the creation of custom analytical tools for real-world problem-solving.
• Leveraging public and private APIs ensures accurate and relevant data analysis.
• The integration of HDB Cloud Data Service allows for swift and reliable GPT creation.

Feel free to play with the open-source Benchmark GPT and explore the provided links, resources, and APIs. Let us know your feedback and stay tuned for more!

[For more details, visit the video description below.]

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This article is a comprehensive guide to generating insights from data using GPTs and APIs. Through the integration of public and private APIs, users can create custom GPTs for real-world problem-solving. The tutorial provides a hands-on and interactive approach to utilizing GPTs, ensuring accurate, timely, and reliable data analysis. With the provided tools and resources, users can explore the potential of GPTs to generate valuable insights.