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Introduction The biggest nightmare of a QA when it comes to using an AI for client deliverables is data leak. As we are aware, Once data is shared with many public generative AI models—especially those on third-party platforms—it may be stored and used for future training, posing data privacy and compliance risks, unless the user...
Initial Thoughts Having spent over a decade working in software development and data engineering, I thought, where is AI right now? Is it capable of eliminating the developer or is there still some time? So, I challenged myself with building an Android app. That was an unfamiliar area for me. While it intrigued me, there were a ton of...
Introduction Generative AI (Gen AI) has revolutionized how machines generate text, code, images, and more by leveraging deep learning models. However, one of its key limitations is its reliance on pre-trained knowledge, which may become outdated or lack domain-specific insights. This is where Retrieval-Augmented Generation(RAG) comes...
Introduction Artificial Intelligence (AI) is revolutionizing web development by increasing efficiency and driving productivity. Integrating AI-driven Large Language Models (LLMs), like ChatGPT, with Drupal allows organizations to enhance user experiences, streamline processes, and promote innovation. However, merely connecting an LLM API...