Category: AI

  • The Art of Prompting for a Developer

    The Art of Prompting for a Developer

    Effective communication with LLMs is crucial for maximizing their utility in development. Clear, specific prompts guide LLMs, helping them produce relevant, quality outputs. By assuming the role of a senior developer, defining best practices, and critically reviewing outputs, users can improve interactions with these AI models and streamline their coding processes.

  • Architecture for my Generative AI Application

    Architecture for my Generative AI Application

    In this article, I explore using AI image generation models accessed via platforms like Hugging Face but faces challenges with high GPU costs and inefficient resource management. The solution involves a web application and a backend service that auto-scales GPU usage via asynchronous messaging, ensuring resources are only used when necessary.

  • I’ve Created a RAG in Two Days

    I’ve Created a RAG in Two Days

    In the AI era, web developers must integrate AI into projects to stay relevant. I’ve built a Retrieval-Augmented Generation (RAG) system in two days, combining a knowledge database with an LLM. Key components included data chunking and retrieval. The project showcased AI’s ability to provide specific responses, using creative datasets for testing.