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Turn customer feedback into opportunities using generative AI in BigQuery DataFrames

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

To operate a thriving business, it is important to have a deep understanding of your customers’ needs and extract valuable insights from their feedback. However, the journey of extracting actionable information from customer feedback is a formidable task. Examining and categorizing feedback can help you discover your customers’ core pain points with your products, but …

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VALID: A perceptually validated virtual avatar library for inclusion and diversity

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Posted by Mar Gonzalez-Franco, Research Scientist, Google AR & VR As virtual reality (VR) and augmented reality (AR) technologies continue to grow in popularity, virtual avatars are becoming an increasingly important part of our digital interactions. In particular, virtual avatars are at the center of many social VR and AR interactions, as they are key …

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DeepPCR: Parallelizing Sequential Operations in Neural Networks

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Parallelization techniques have become ubiquitous for accelerating inference and training of deep neural networks. Despite this, several operations are still performed in a sequential manner. For instance, the forward and backward passes are executed layer-by-layer, and the output of diffusion models is produced by applying a sequence of denoising steps. This sequential approach results in …

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API-led connectivity: Improve API reuse and organizational agility

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Today’s customers and employees expect a real-time, personalized and connected user experience on any platform.  As enterprise applications grow and evolve to address these needs, integration between applications has become increasingly important. Building point-to-point integrations manually is time consuming, inefficient and costly; andorganizations need a better way to consume and share data, as well as …

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VALID: A perceptually validated virtual avatar library for inclusion and diversity

by AI Generated Robotic ContentFAANGPosted on Comments are Disabled

Posted by Mar Gonzalez-Franco, Research Scientist, Google AR & VR As virtual reality (VR) and augmented reality (AR) technologies continue to grow in popularity, virtual avatars are becoming an increasingly important part of our digital interactions. In particular, virtual avatars are at the center of many social VR and AR interactions, as they are key …

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Getir end-to-end workforce management: Amazon Forecast and AWS Step Functions

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This is a guest post co-authored by Nafi Ahmet Turgut, Mehmet İkbal Özmen, Hasan Burak Yel, Fatma Nur Dumlupınar Keşir, Mutlu Polatcan and Emre Uzel from Getir. Getir is the pioneer of ultrafast grocery delivery. The technology company has revolutionized last-mile delivery with its grocery in-minutes delivery proposition. Getir was founded in 2015 and operates …

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Google at EMNLP 2023

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Posted by Malaya Jules, Program Manager, Google Google is proud to be a Diamond Sponsor of Empirical Methods in Natural Language Processing (EMNLP 2023), a premier annual conference, which is being held this week in Sentosa, Singapore. Google has a strong presence at this year’s conference with over 65 accepted papers and active involvement in …

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Retailers can tap into generative AI to enhance support for customers and employees

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As the retail industry witnesses a shift towards a more digital, on-demand consumer base, AI is becoming the secret weapon for retailers to better understand and cater to this evolving consumer behavior. With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of …

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Mitigate hallucinations through Retrieval Augmented Generation using Pinecone vector database & Llama-2 from Amazon SageMaker JumpStart

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Despite the seemingly unstoppable adoption of LLMs across industries, they are one component of a broader technology ecosystem that is powering the new AI wave. Many conversational AI use cases require LLMs like Llama 2, Flan T5, and Bloom to respond to user queries. These models rely on parametric knowledge to answer questions. The model …

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