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Embed Retrieve Win

Subscribe • Previous Issues The Vector Database Index If you work with text or images, chances are embeddings are already a key part of your machine learning and analytic pipelines. Embeddings are low-dimensional spaces into which higher-dimensional vectors can be mapped into. They can represent many kinds of data, whether a piece of text, an image or audio snippet, or a loggedContinue reading “Embed Retrieve Win”

Speech Data Processing Takes Flight

Subscribe • Previous Issues Unlocking speech and audio data with new open source tools Interest in neural networks and deep learning can be traced back to groundbreaking results in computer vision (2012) and speech recognition (2011). The number of companies working on computer vision applications is increasing, but the number of companies working on audio data is much lower, despite the factContinue reading “Speech Data Processing Takes Flight”

Open source libraries for Text and Time Series

Subscribe • Previous Issues Data Exchange podcast Unleashing the power of large language models: If you work with text, you should incorporate transformer-based language models into your NLP pipelines. You can either build your own tools or use libraries that come with pre-trained models. Maarten Grootendorst, is the author of open source libraries that I’ve come to love: BERTopic (topic modeling withContinue reading “Open source libraries for Text and Time Series”

Machine Learning at a Pegacorn

Subscribe • Previous Issues Major Tech Companies 💙 Metaverse What have popular technology news sources been covering in 2022?  Metaverse joins other hot areas (AI and cloud computing) on the list of top topics covered in 2022. By examining a variety of metrics, we identify which companies are investing in the Metaverse. Read The Post Data Exchange podcast Data Infrastructure for ComputerContinue reading “Machine Learning at a Pegacorn”


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