Announcing Amazon Nova, a new generation of foundation models (FMs) that have state-of-the-art intelligence across a wide range of tasks, and industry-leading price performance. With the ability to process text, image, and video as prompts, customers can use Amazon Nova-powered generative AI applications to understand videos, charts, and documents, or generate videos and other multimedia content. Learn more about the new Amazon Nova models available in Amazon Bedrock: https://amzn.to/4gkYd3j #AmazonNova #AmazonBedrock #AWSreInvent
Amazon Science
Research Services
Seattle, Washington 371,053 followers
The latest news and research from Amazon’s science community. #AmazonScience
About us
Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work. Follow us on LinkedIn and visit our website to get a deep dive on innovation at Amazon, and explore the many ways you can engage with our scientific community. #AmazonScience
- Website
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https://www.amazon.science
External link for Amazon Science
- Industry
- Research Services
- Company size
- 10,001+ employees
- Headquarters
- Seattle, Washington
- Founded
- 2020
- Specialties
- Artificial Intelligence, Machine Learning, Computer Vision, Cloud, Economics, Sustainability, AI, ML, Conversational AI, Natural Language Processing, NLP, Robotics, Security, Privacy, Information, Knowledge Management, Operations, Scientific Research, Search, Amazon, and Alexa
Updates
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At EMNLP, Amazon researchers showed how to “detoxify” an LLM's output by using an auxiliary model to estimate the distribution closest to the LLM's current distribution that satisfies toxicity constraints and penalizing the gap between the two. #EMNLP2024 #LLM #LargeLanguageModels
Detoxification of large language models via regularized fine-tuning
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Amazon scientists are helping advance nature-based carbon removal through ABACUS, a new standard that improves the integrity of restoration projects in the voluntary carbon market. The standard introduces key innovations in measurement accuracy, agricultural production, durability assurance, ecosystem diversity, and transparency. Learn how ABACUS is helping enable billions of tons of ecosystem carbon removal worldwide: https://amzn.to/3AGRiCl #Sustainability #CarbonRemoval #TheClimatePledge The Climate Pledge
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Thank you to everyone who joined us at EMNLP! We enjoyed connecting with researchers from around the world and participating in thoughtful discussions about the future of NLP. Learn more about the research presented by Amazon scientists: https://amzn.to/4eyxejr #AmazonScience #EMNLP2024 #NLP #LLMs
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In his blog post, Stefano Soatto, AWS VP, argues that as LLMs grow in scale, they are moving from induction to transduction — from generalizing and forgetting to memorizing and reasoning. Solomonoff inference and stochastic realization theory, he says, help us understand this shift. #LLMs #LargeLanguageModels #ML
Solomonic learning: Large language models and the art of induction
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Amazon scientists are presenting 50+ papers at EMNLP. From LLM training to misinformation mitigation, our research spans critical areas in natural language processing. Explore our comprehensive guide to learn how we're advancing speech, recommender systems, and information retrieval. #AmazonScience #EMNLP2024 #NLP #LLMs
A quick guide to Amazon's 50-plus papers at EMNLP 2024
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“Innovation isn’t just about building new products; it’s about solving business problems creatively,” shares Antony Arokiasamy. He joined Amazon as an SDE and quickly advanced to Principal Engineer, where he plays a pivotal role in shaping Amazon’s technical direction. As part of Catalog Systems, Antony’s team simplifies the process for sellers to list their products on Amazon’s platform. To learn more about impactful roles like Antony's and the Principal Engineering community at Amazon, visit https://lnkd.in/gr6iB2yx.
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Our latest newsletter features insights into addressing selection bias in machine learning evaluations and enhancing code completion efficiency, along with reports on recent AI developments and tools from Amazon, notable academic achievements, and collaborative research initiatives in AI.
October 2024
Amazon Science on LinkedIn
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The second annual Fall Research Symposium from the Amazon-Illinois Center on AI for Interactive Conversational Experiences (AICE) brought together over 100 faculty, students, and Amazon partners to showcase groundbreaking research in conversational AI. The center celebrated a successful first year, including 20+ publications, award nominations, and student internships at Amazon. The event also featured keynotes on accountability models in LLM-based dialogue systems and extending large language models to large agent models. Learn more: https://amzn.to/3YGypr9 #AmazonScience #ConversationalAI #UIUC University of Illinois Urbana-Champaign The Grainger College of Engineering
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Amazon scientists helped develop the ABACUS standard for using reforestation, agroforestry, and other forms of restoration to sequester carbon dioxide. They describe five ways the standard advances nature-based carbon removal. #Sustainability #TheClimatePledge The Climate Pledge
Five ways the ABACUS label advances nature-based carbon removal
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