In this video, Rohan Paul compares the performance of three AI models: Blackbox.ai, ChatGPT-4, and Anthropic Claude 3.5, specifically focusing on their ability to execute third-party API calls.
Overview of Blackbox.ai
The discussion starts with an overview of Blackbox.ai, which stands out for its unique capability to run real-time API calls directly within its interface, a feature that the other two models lack.
Performance Testing
Paul presents a coding prompt to evaluate the models' performance in fetching data from the Together API, measuring their time to completion and providing executable code. Throughout the comparison, he stresses the importance of transparency in code generation, highlighting that Blackbox.ai provides references to the sources of its code, unlike ChatGPT-4 and Claude 3.5.
Execution Results
The video demonstrates the execution results of each model, showing that Blackbox.ai successfully runs the code and retrieves live results, while the other models face errors or limitations when dealing with external API calls.
Conclusion
Paul concludes by emphasizing the advantages of Blackbox.ai for developers, especially in scenarios that demand seamless integration with third-party APIs, making it an attractive option for coding tasks.
