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Why Python workflows? (Database, Files & Credentials)

Over the last 2 weeks, we’ve added support for Data, Files, and Credentials—all of which are important when building workflows. We have also significantly improved the AI-generated results.

Here’s a quick video that shows how the product works:

To see how Trudo fits your use-cases, please schedule a personal demo:

Thoughts on fine-tuning: I've spoken to multiple founders and business professionals about fine-tuning GPT-4 models, and most of them believe that fine-tuning is the only way to achieve stable results for complex use cases. Many people initially thought that fine-tuning would become irrelevant after GPT-4 came out, but as the models improve, more complex use cases continue to emerge, reinforcing the importance of fine-tuning.

How to Get Started with Fine-Tuning:
1. Begin with prompt engineering
2. Save results in a database
3. Review and improve the results
4. Fine-tune and deploy the model
5. Repeat from step 2

Why so many people use Python:
1. Data Science Leader: Python is widely used in data science, known for its many libraries like pandas and numpy, which make data manipulation and analysis easy.
2. Community & Libraries: Python has a large community and many libraries, allowing integration with almost any system or application.
3. Easy to Read & Flexible: Python's clean syntax makes it easy to write and maintain, suitable for most tasks.

For any questions or suggestions, please email me at igor@trudo.ai

Have a great week!