Hypernetworks for Personalizing ASR to Atypical Speech

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*Equal Contributors Parameter-efficient fine-tuning (PEFT) for personalizing automatic speech recognition (ASR) has recently shown promise for adapting general population models to atypical speech. However, these approaches assume a priori knowledge of the atypical speech disorder being adapted for — the diagnosis of which requires expert knowledge that is not always available. Even given this knowledge, …

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How Twilio used Amazon SageMaker MLOps pipelines with PrestoDB to enable frequent model retraining and optimized batch transform

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This post is co-written with Shamik Ray, Srivyshnav K S, Jagmohan Dhiman and Soumya Kundu from Twilio. Today’s leading companies trust Twilio’s Customer Engagement Platform (CEP) to build direct, personalized relationships with their customers everywhere in the world. Twilio enables companies to use communications and data to add intelligence and security to every step of …

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Exploring Google Cloud networking enhancements for generative AI applications

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Many enterprises are exploring ways to incorporate the benefits of generative AI (gen AI) into their business. The 2023 Gartner® report We Shape AI, AI Shapes Us: 2023 IT Symposium/Xpo Keynote Insights, 16 October 2023 states that “most organizations are using, or plan to use, everyday AI to boost productivity. In the 2024 Gartner CIO …

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Supercharging Anti-Money Laundering (AML) with Generative AI at Strise

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Who are we? For financial institutions, maintaining compliance with national and international laws is a costly burden, with the banking industry spending over $200 billion to meet the strict scrutiny of regulators.  To make this process easier, and less burdensome, Strise has built an Anti-Money Laundering (AML) Intelligence System trusted by some of the largest …

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People struggle to tell humans apart from ChatGPT in five-minute chat conversations, tests show

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

Large language models (LLMs), such as the GPT-4 model underpinning the widely used conversational platform ChatGPT, have surprised users with their ability to understand written prompts and generate suitable responses in various languages. Some of us may thus wonder: are the texts and answers generated by these models so realistic that they could be mistaken …

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