Knowledge Base What is Multimodal Deep Learning and What are the Applications? Multimodal deep learning allows for a more holistic understanding of data, as well as increased accuracy and efficiency. But first, what are multimodal deep learning? And what are the applications? This article will answer these two questions.
Knowledge Base Cloud-Native Helps You Build Multimodal AI in Production: Here's How How would cloud-native actually help you on building multimodal AI in production? What is cloud-native anyway? Is it just a buzzword to get VC's money yet delivers an empty promise?
Events How to Start Your Career in Open Source For fresh grads, we summarized some tips that you can use to make your profile stand out and help you to develop skills in engineering, marketing, and open-source community operations.
Knowledge Base Neural Search: The Definitive Guide to Building a Neural Search Engine with Jina One of the most promising applications of cross-modal machine learning is neural search. The core idea of neural search is to leverage state-of-the-art deep neural networks to build every component of a search system.
Knowledge Base 5 Most Trending Open Source MLOps Tools of 2022 MLOps helps organizations better manage the complexities of ML in production. This article reviews the top-5 most trending open source MLOps tools listed on OSSInsight.io in 2022.
Events From Zero to Hero: Vector Search Hackday Summary On Wednesday, Jina AI hosted a Vector Search Hackday with the Haystack EU Community in our Berlin office. Participants were grouped by interests and background, from beginners in vector search to information retrieval professionals. The "Beginning Vector Search" group built their first Image-to-Text search engine in one day
