💡Production environment is 10 times harder than development environment.
🚀Think about the end product and work backwards to prevent repeat steps.
🤓Everything is new in the world of AI, and finding solutions requires independent research.
💬Talk to the client and get feedback promptly to align your vision with theirs.
📓Front-end development requires understanding the client's needs and preferences.
What was the most challenging part of the project?
—The most challenging part of the project was finding a solution to parse unstructured data in complex PDFs.
What technologies did you use for the project?
—I used React.js, Tailwind CSS, Flask, SQLite, Pinecone, and OpenAI's GPT-3.5 for different aspects of the project.
How did you handle updating the PDFs when the standards change?
—Currently, all 40 PDFs need to be updated together, but I recommend adding metadata to the vector database to enable easier updates in the future.
What lessons did you learn from the project?
—I learned the importance of considering the production environment, thinking about the end product, staying up-to-date with AI technologies, and constantly communicating with the client.
What advice do you have for developers working on similar projects?
—Always think about the end product, work backwards to avoid repeat steps, stay informed about the latest AI technologies, and communicate effectively with the client.
00:00Introduction and overview of the project.
03:28Explanation of the challenges faced in parsing unstructured data in complex PDFs.
06:45Lessons learned: production is harder than development, work backwards from the end product, everything is new in the AI field.
08:46Importance of communication with the client and considering their needs and preferences.
09:49Answers to frequently asked questions about the project.
