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Favorite Posted by Yangsibo Huang, Research Intern, Google Research; Chiyuan Zhang, Research Scientist, Google Research Large embedding models have emerged as a fundamental tool for various applications in recommendation systems [1, 2] and natural language processing [3, 4, 5]. Such models enable the integration of non-numerical data into deep learning
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Shared by Google AI Technology December 8, 2023
Favorite Now available in the U.S., NotebookLM has new features to help you easily read, take notes and organize your writing projects. View Original Source (blog.google/technology/ai/) Here.
Favorite 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
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Shared by AWS Machine Learning December 8, 2023
Favorite 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
Read More Shared by Google AI Technology December 7, 2023
Favorite The 2023 report of the licenses in use by the biggest package managers highlights the need to educate developers on the importance of licensing information. While many developers know that Open Source software forms the backbone of modern development, the data shows that much of their software is shared
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Shared by voicesofopensource December 7, 2023
Favorite This post is co-written with Stanislav Yeshchenko from Q4 Inc. Enterprises turn to Retrieval Augmented Generation (RAG) as a mainstream approach to building Q&A chatbots. We continue to see emerging challenges stemming from the nature of the assortment of datasets available. These datasets are often a mix of numerical
Read More Shared by AWS Machine Learning December 7, 2023
Favorite Conversational AI has come a long way in recent years thanks to the rapid developments in generative AI, especially the performance improvements of large language models (LLMs) introduced by training techniques such as instruction fine-tuning and reinforcement learning from human feedback. When prompted correctly, these models can carry coherent
Read More Shared by AWS Machine Learning December 7, 2023
Favorite Summarization is the technique of condensing sizable information into a compact and meaningful form, and stands as a cornerstone of efficient communication in our information-rich age. In a world full of data, summarizing long texts into brief summaries saves time and helps make informed decisions. Summarization condenses content, saving
Read More Shared by AWS Machine Learning December 7, 2023
Favorite 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
Read More Shared by AWS Machine Learning December 7, 2023
Favorite Explore our collection to find out more about Gemini, the most capable and general model we’ve ever built. View Original Source (blog.google/technology/ai/) Here.