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Introduction Travel planning is no longer just about deciding where to go, it's about how, when, what to experience, and being prepared at every step. Traditional itinerary tools focus only on dates and places, leaving travelers to juggle multiple apps for hotels, packing lists, activities, maps, and research. To solve this, we built...
Introduction Large Language Models (LLMs) like ChatGPT, Gemini, and Claude are very powerful. They can answer questions, write text, generate code, and help in many tasks. However, these models are trained on very general data from the internet. Because of this, they may not always understand your specific business, domain, or writing...
Drupal chatbots powered by AI use Large Language Models (LLMs) to understand user queries and provide intelligent, context-aware responses. These models rely on transformer-based neural networks, which allow the chatbot to interpret questions, generate relevant answers, and maintain a natural conversational flow. By integrating LLaMA3 via...
Introduction: As software development teams start exploring Generative AI and Large Language Models (LLMs) for test and development work, resulting productivity boosts have generated quite a bit of excitement. From authoring unit tests to code diff summarization and supporting exploratory test work, LLMs are becoming useful assets for...
Introduction The domain of large language models (LLMs) is evolving quickly, and it's revolutionizing the way we tackle everything from AI-powered chatbots to machine learning-based code generation. Traditionally, operating these models came at the cost of sky-high cloud bills, latency, or committing sensitive data to third-party...
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...