— Nathan Lands (@NathanLands) 2 décembre 2023
Winter Memories // a short video experiment made with
@midjourney + @runwayml #midjourney #AIart #aiartcommunity
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— Nathan Lands (@NathanLands) 2 décembre 2023
Winter Memories // a short video experiment made with
@midjourney + @runwayml #midjourney #AIart #aiartcommunity
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Good article on the inside story of Microsoft's partnership with @OpenAI and what happened during recent events.
#AI #RuleoftheRobots https://
newyorker.com/magazine/2023/
12/11/the-inside-story-of-microsofts-partnership-with-openai
…

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Building a Retrieval Augmented Generation Chatbot If you are looking to learn how to build an end-to-end app to allows users to talk with their PDFs, check out this from @sophiamyang It covers: Ingestion
Prompting
Frontend Blog: https://
sophiamyang.medium.com/building-a-ret
rieval-augmented-generation-chatbot-d567a24fcd14
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Ok, here is a list of ML researchers from AT&T who moved academia: Michael Kearns, Dan Lee, Sebastian Seung, Fernando Pereira, Yoshua Bengio, Sara Solla, Rich Sutton, Satinder Singh, Peter Stone, Lawrence Saul, Rob Schapire,… and me. You can totally do it *if* you are in a lab

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6 months as a Data Science freelance – some tips https://
bit.ly/40UpSRQ
#AI #MachineLearning #DeepLearning #LLMs #DataScience

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ART⋅V: Auto-Regressive Text-to-Video Generation with Diffusion Models Weng et al.: https://
arxiv.org/abs/2311.18834 #ArtificialIntelligence #DeepLearning #MachineLearning
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And what role does discreteness play here? Images are also redundant but maybe not in the same way as English. So I’m not sure which accommodates better self-correction. I’m thinking of genes too. Clear answers appreciated.
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Redundancy in language, eg “I am Sam” vs “am Sam”, makes communication robust to errors. Is there a crisp argument for why this error-correction helps in learning auto-regressive language models? The intuition seems right but I’d love to see a formal proof or experiment.
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Holidays are coming.
— fofr (@fofrAI) 1 décembre 2023
So impressed how accurately SVD has figured out the 3D in this image. The trees, the background buildings, the windows in the gingerbread truck. pic.twitter.com/hRjCE59MaT
Holidays are coming. So impressed how accurately SVD has figured out the 3D in this image. The trees, the background buildings, the windows in the gingerbread truck.
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I hear you on this. The team has been thinking about how we can help better enable people like you to build awesome projects like tldraw without having to bear the cost for every user. Stay tuned, thank you for building with us, and trust that we want to solve this for you!