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A multimodal search solution using NLP, BigQuery and embeddings

Today’s digital landscape offers a vast sea of information, encompassing not only text, but also images and videos. Traditional enterprise search engines were primarily designed for text-based queries, and often fall short when it comes to analyzing visual content. However, with a combination of natural language processing (NLP) and multimodal embeddings, a new era of …

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Choosing between self-hosted GKE and managed Vertex AI to host AI models

In today’s technology landscape, building or modernizing applications demands a clear understanding of your business goals and use cases. This insight is crucial for leveraging emerging tools effectively, especially generative AI foundation models such as large language models (LLMs). LLMs offer significant competitive advantages, but implementing them successfully hinges on a thorough grasp of your …

How hardware contributes to the fairness of artificial neural networks

Over the past couple of decades, computer scientists have developed a wide range of deep neural networks (DNNs) designed to tackle various real-world tasks. While some of these models have proved to be highly effective, some studies found that they can be unfair, meaning that their performance may vary based on the data they were …