Layers

Introduction Retrieval-Augmented Generation (RAG) could have been obligatory for the primary wave of enterprise AI, but it surely’s quickly evolving into something much larger. Over the past two years, organizations have realized that simply retrieving...

look quite the identical as before. As a software engineer within the AI space, my work has been a hybrid of software engineering, AI engineering, product intuition, and doses of user empathy. With a...

of Contents Introduction The AI space is an enormous and sophisticated landscape. Matt Turck famously does his Machine Learning, AI, and Data (MAD) landscape yearly, and it all the time seems to get crazier and crazier....

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching recent levels of intelligence and capability. From early neural networks to today’s advanced architectures like GPT-4, LLaMA, and other Large Language...

AI systems depend upon vast, meticulously curated datasets for training and optimization. The efficacy of an AI model is intricately tied to the standard, representativeness, and integrity of the information it's trained on. Nevertheless,...

As organizational data grows, its complexity also increases. These data complexities grow to be a major challenge for business users. Traditional data management approaches struggle to administer these data complexities, so advanced data management...