As the race to build the world's first truly useful quantum computer intensifies, so does the need for clear-eyed assessment. In this episode of Field Notes, dive deeper w/ @GoogleQuantumAI to understand the reality of quantum computing & its impact. →
https://
goo.gle/3HpQeSX
RESEARCH
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Google Quantum AI Advances Toward Practical Quantum Computing
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AI Tutor System Models and Supports Learner Activities
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Meet your AI tutor: This winning Hoffman-Yee Grant project is creating new systems that model and support learners as they work through activities like writing and drawing. https://
stanford.io/480EFwB -
GenAI Becomes Real: Quantum Computing for AI Training
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2024 is the year that #GenAI becomes real & interactive. Don't miss out on this opportunity to learn about the future of AI. Join Oskar Mencer at the Quantum Computing in Finance Conference today to hear how QUBOs & quantum computers could be used to train AI.
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John von Neumann Biography Book Purchase and Discovery
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I bought The Maniac https://
a.co/d/35OG9ak instantly just because it was a book about John von Neumann, and it took me a little while to realize that it was fictionalized and not strictly properly sourced history. I still appreciated it a lot. -
Improving Language Model Plasticity via Active Forgetting
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Applying language models to a new language can be difficult. This is a barrier to making their capabilities universally accessible.
— Cohere (@cohere) 22 janvier 2024
Here’s Kelly Marchisio @cheeesio explaining “Improving Language Plasticity via Pretraining with Active Forgetting” at #NeurIPS2023. The method… pic.twitter.com/9tfS3lLpPbApplying language models to a new language can be difficult. This is a barrier to making their capabilities universally accessible. Here’s Kelly Marchisio @cheeesio explaining “Improving Language Plasticity via Pretraining with Active Forgetting” at #NeurIPS2023. The method
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Stanford Team Researches Foundation Models Applications and Social Impact
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Looking for more research on foundation models? This team is studying the applications, technical advances, and social impact of these powerful models – from improving state-of-the-art methods to evaluating the models' downstream uses: https://
stanford.io/48Uc6BI -
Latest AI Model Shows Improved Honesty and Accuracy
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Read more about our latest model's improved honesty and accuracy in our blog post:
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Asana Leverages Anthropic AI for Strategic Work Insights
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“Anthropic has been a strategic partner in developing our AI strategy at Asana. We’re able to more accurately draw insights and nuances from large sets of data, and overall tell an honest assessment of the state of work.” – Eric Pelz, Head of Technology, AI at Asana.
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Mitigating LLM Hallucinations: RAG and Prompt Tuning Strategies
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What are some mitigation techniques against LLM hallucinations? We have found that RAG combined with some prompt tuning usually works best. By giving the LLM strict instructions, it will respond with content that is sent in the context. At Abacus AI, all our deployed LLMs in
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Depth-Anything: Depth Detection with Repo, Demo and Paper
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Repo: https://github.com/LiheYoung/Depth-Anything
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Demo: https://huggingface.co/spaces/LiheYoung/Depth-Anything
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Paper: