Application Integration Roadmap: The Future Ahead (March 19-20) - Global Sessions
Hi AI/ML Community, I'm excited to invite you to our Application Integration Roadmap: The Future Ahead session...
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Hi AI/ML Community, I'm excited to invite you to our Application Integration Roadmap: The Future Ahead session...
I'm using Safe Search API in Cloud Vision to detect adult or harmful pictures and don't let them pass to be pu...
Hi I have a query In Dailogflow if we enable enhanced speech feature, specifically, credit card info (i.e. num...
The voice/language options during conversion of long text files to speech. Can anyone help with the doc/sample...
Don't miss this great, free ML/AI learning opportunity! Crossposting from the Learning Forums: https://www.goo...
Even with auto Ml, should carefully custom split my data to my satisfaction or just leave it to AutoML? And wh...
I know that for AutoML, the user has to train the model. But are there existing "pre-trained" models that you ...
Hi CommunityFirstly I would like to congratulate all for the announcement of VertexAI.I am interested to know ...
Google Cloud Next conference is happening this year on October 12-14, 2021!What exciting new technologies are ...
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Learning complex technologies is hard. The sheer volume of information to absorb, along with the need to develop practical skills, can be overwhelming. Google Kubernetes Engine (GKE) is one of those complex technologies.
We are thrilled to announce a significant enhancement to Google Cloud NetApp Volumes with the integration of Assured Workloads. This powerful combination empowers organizations to deploy NetApp Volumes in a rigorously secure and controlled environment, specifically designed to meet the stringent compliance demands of highly regulated sectors such as government, healthcare, and financial services.
In many real-world applications, we encounter tasks that sit at the intersection of semantic understanding and contextual judgment. One such common scenario is determining if a set of keywords truly aligns with a brand, its products, and its messaging (like a tagline). This isn't just about whether the words are synonyms; it's about relevance in a specific context. Does "eco-friendly" align well with a fast-fashion brand's new line, even if the tagline mentions "sustainable materials"? Does "high-performance" fit a budget-friendly product?