Category: AI Category
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Moving data from diverse sources to the right location for AI use is a challenging task. That’s where data orchestration technologies like Apache Airflow fit in. Today, the Apache Airflow community is out with its biggest…
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Using llama. Source link
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A two-person startup by the name of Nari Labs has introduced Dia, a 1.6 billion parameter text-to-speech (TTS) model designed to produce naturalistic dialogue directly from text prompts — and one of its creators claims it…
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Graph neural networks (GNNs) can be pictured as a special class of neural network models where data are structured as graphs — both training data used to train the model and real-world data used for inference — rather than fixed-size vectors or grids like image, sequences, or instances of tabular data. Source link
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This post is divided into three parts; they are: • Building a Semantic Search Engine • Document Clustering • Document Classification If you want to find a specific document within a collection, you might use a simple keyword search. Source link
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eSelf, a startup that focuses on face-to-face, natural-feeling conversational AI agents, said it is partnering with the Center for Educational Technology to bring private AI tutors to students worldwide. CET is Israel’s largest K-12 textbook publisher, with a leading position across all subjects and grade levels. As part of the pilot program, Harvard University will serve as…
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As geopolitical events shape the world, it’s no surprise that they affect technology too – specifically, in the ways that the current AI market is changing, alongside its accepted methodology, how it’s developed, and the ways it’s put to use in the enterprise. The expectations of results from AI are balanced at present with real-world…
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When I launched VentureBeat in 2006, the goal was clear: Chronicle the disruptive technologies rewriting how business gets done. Gaming earned a seat at that table early — so much so that in 2008, I invited…
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Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Relyance AI, a data governance platform provider that secured $32.1 million in Series B funding last October, is launching a new solution aimed at solving one of the most pressing challenges in enterprise AI adoption: understanding…
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This post is divided into seven parts; they are: – Core Text Generation Parameters – Experimenting with Temperature – Top-K and Top-P Sampling – Controlling Repetition – Greedy Decoding and Sampling – Parameters for Specific Applications – Beam Search and Multiple Sequences Generation Let’s pick the GPT-2 model as an example. Source link