How generative AI’s impact on digital advertising methodology is evolving
Despite issues around brand safety, intellectual property and security, generative AI tools for brands and advertisers are here to stay.Read More
Despite issues around brand safety, intellectual property and security, generative AI tools for brands and advertisers are here to stay.Read More
The explosion of generative AI has taken the world by storm, but one question all too rarely comes up: Who can afford it?
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Unveiling the Surprising Secrets of ChatGPT’s API & BARD for Bot Building How Companies and Brands Need to think about Building AI Apps AI POWERED WORLD Prepare to be astonished as we unveil the superpowers of ChatGPT that go far beyond 99% of what people are building today. Hidden Benefit #1: Turning your Knowledge into an AI Powered Bot Imagine …
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The digital advertising industry must look closely at how AI is implemented as it begins to use the tech for targeting, measurement, personalization and optimization.Read More
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Airlines pioneered travel loyalty programs more than a generation ago with the first offers for frequent flyer miles. Over time, these plans proliferated, for both the business and the leisure traveler. In response, travel and hospitality companies are transforming travel loyalty marketing programs to create better value for all customers as well as for the …
Last Updated on May 19, 2023 Large language models (LLMs) are recent advances in deep learning models to work on human languages. Some great use case of LLMs has been demonstrated. A large language model is a trained deep-learning model that understands and generates text in a human-like fashion. Behind the scene, it is a …
Get ready to witness a revelation that will transform the way you build apps! We are thrilled to unveil the surprising secrets of ChatGPT’s API, opening up a world of limitless possibilities for your app development journey. Brace yourself for an email that cuts straight to the chase! Secret #1 Supercharge your app with the immense potential …
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This work investigates pre-trained audio representations for few shot Sound Event Detection. We specifically address the task of few shot detection of novel acoustic sequences, or sound events with semantically meaningful temporal structure, without assuming access to non-target audio. We develop procedures for pre-training suitable representations, and methods which transfer them to our few shot …