Samaya AI
@samaya_AI
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An AI-powered Knowledge Discovery Platform
Joined April 2022
Can Large Language Models effectively use knowledge in their input context? Find out more in our blog post: 'Information Overload: Challenges of Expanding Context Windows in LLMs' �@nelsonfliu Ashwin Paranjape @MicheleBevila20 @Fabio_Petroni @maithra_raghu
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We have a wonderful new office in London and are hiring in London and the SF Bay Area! Check out for details!.
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Excited for this achievement. Read more in our new blog post 🚀.
Every researcher's path is a rollercoaster filled with numerous lows. With unspeakable joy, today I want to share a high point: our paper, “Improving Wikipedia Verifiability with AI,” has been published in the prestigious @NaturePortfolio. Dive in [1/4]
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These questions on knowledge and LLMs are central to our work at Samaya AI, where we are building out cutting-edge models to help with knowledge intensive workflows. Learn more about us and join our journey at 🚀
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These findings reveal that, even when presented with random documents as distractors, models still face challenges in reasoning over their input context. This underscores the importance of improving LLMs’ abilities to reason over complex external knowledge.
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Our recent study “Lost in the Middle: How Language Models Use Long Contexts” ( finds that language models struggle to reason over their entire input context, which has significant implications for the use of these models in knowledge-rich applications.
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RT @maithra_raghu: A few months ago I left Google Brain to pursue my next adventure: building @samaya_AI! We're excited to bring the latest….
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