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Unlock the Power of Computer Vision using Python: 7 Essential OpenCV Features You Need to Know

Towards AI

Last Updated on March 6, 2024 by Editorial Team Author(s): Davide Nardini Originally published on Towards AI. 7 OpenCV Python Functions That Will Revolutionize Your Computer Vision Projects.Photo by Greg Rakozy on Unsplash OpenCV is a well-known open-source library for computer vision in Python.

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Your Copy-Paste ChatGPT Custom Instructions — Right Here

Towards AI

Last Updated on August 23, 2023 by Editorial Team Author(s): Victor David Originally published on Towards AI. Image Genearted with AI on Canva Pro ChatGPT creates beautiful text, but has the tendency to answer in a standard, structured format that sometimes sounds, well, artificial. What is the problem needing solving?

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Knowledge Bases for Amazon Bedrock now supports hybrid search

AWS Machine Learning Blog

Semantic search alone can’t generalize well for this task, because it lacks the capacity for lexical matching of unseen entities, which is important for handling out-of-domain examples. It allows you to search on keywords as well as the semantic meaning of the text, thereby expanding the search capabilities. billion, $6.1 billion, $24.9

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Minimize real-time inference latency by using Amazon SageMaker routing strategies

AWS Machine Learning Blog

When ML models deployed on instances receive API calls from a large number of clients, a random distribution of requests can work very well when there is not a lot of variability in your requests and responses. About the Authors James Park is a Solutions Architect at Amazon Web Services.

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Self-Service BI vs Traditional BI: What’s Next?

Alation

But there have always been limits on who can access valuable data, as well as how it can be used. One of our authors participated in one such project during that period.). This is why author and consultant Geoffrey Moore famously argued that software move from systems of record to systems of engagement.

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Build a medical imaging AI inference pipeline with MONAI Deploy on AWS

AWS Machine Learning Blog

This post is cowritten with Ming (Melvin) Qin, David Bericat and Brad Genereaux from NVIDIA. It also offers a variety of NVIDIA GPU instances for ML inference, as well as multiple model deployment options with automatic scaling, including real-time inference , serverless inference , asynchronous inference , and batch transform.

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Differentially private clustering for large-scale datasets

Google Research AI blog

Here, we will also discuss our work on clustering technology for a recent launch in the health domain for informing public health authorities. A well known example of hierarchical clustering is the phylogenetic tree in biology in which all life on Earth is partitioned into finer and finer groups (e.g.,