Take a deep dive into the collaborative process of developing a cutting-edge #generativeAI solution for 3D modeling at #GTC24. Discover the technology and challenges involved, lessons learned, and glimpse into the future with @Shutterstock
. https://
nvda.ws/43kTGIU
RESEARCH
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Collaborative Generative AI for 3D Modeling at GTC24
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Hype Replicate: Hackernews-style leaderboard for trending AI repositories
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https://
hype.replicate.dev by @replicate is a Hackernews-style leaderboard of new/trending Github/Huggingface repositories. -
Best AI News and Research Tracking Tools Recommended
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Cannot recommend enough @swyx
's AINews and @replicate
's hype aggregator for tracking latest AI research and code. No more sifting through threadguys and doomer memes to get the day's alpha. -
Rethinking AI Education Beyond Efficiency Goals
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Many AI education tools aim for efficiency, but should this be the primary goal? Panelists at the recent AI+Education Summit urge us to rethink how we develop and deploy AI in education. https://
stanford.io/4chFDry -
WorkArena: Web Agents for Knowledge Work Tasks
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WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks? Drouin et al.: https://
arxiv.org/abs/2403.07718 #ArtificialIntelligence #DeepLearning #MachineLearning -
Can LLMs Perform Latent Multi-Hop Reasoning on Pre-trained Data?
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LLMs are good at in-context reasoning; given a bunch of information in context, they can perform complex reasoning tasks and solve problems. But can they perform latent multi-hop reasoning on pre-trained data? Simply put, can LLMs connect and traverse through implicit knowledge
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Building STORM with LangGraph for Synthetic Wikipedia
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Building STORM with LangGraph Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking (STORM) is a recent paper from @EchoShao8899 et al offering a new approach for generating entirely synthetic Wikipedia-style pages. The basic algorithm is as
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AI in Social Sector: Working Paper and Stanford Webinars
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ICYMI, we released a working paper w/ @project_evident on the current landscape of AI in the social sector. If you’re interested in leveraging AI for mission-driven outcomes, don't miss these webinars with @StanfordHAI
's @vanessaparli & @haifa_badi
. https://
bit.ly/4acdm3F -
Exploring Statistical Phenomena and Common Mistakes in Data Science
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Explore surprising statistical phenomena and real-life common mistakes (like the base rate fallacy) in this new episode from the @_odsc Ai X Podcast. Start listening: https://
linktr.ee/odsc
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#ODSC #DataScientists #MachineLearning #Statistics #DataScience #StatisticalLiteracy -
Scheduled Sampling Technique in AI Model Training
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This is somewhat similar to scheduled sampling, right?