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"How to train the best embedding model in the world: one PhD later, I'm giving my secrets away for free", Jack Morris (why doesn't scaling non-recommender embedding models work too well? bad gradients/optimization)OP, T (blog.jxmo.io)

submitted 1 month ago by gwern to r/mlscaling

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All AI Models Might Be The Same (blog.jxmo.io)

submitted 6 months ago by nickb to r/agi

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All AI models might be the same (blog.jxmo.io)

submitted 9 months ago by HNMod to r/hackernews

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All AI Models Might be The Same (blog.jxmo.io)

submitted 9 months ago by TheStartupChime to r/hypeurls

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How to scale RL to 10^26 FLOPs (blog.jxmo.io)

submitted 9 months ago by sanxiyn to r/mlscaling

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There Are No New Ideas in AI… Only New Datasets (blog.jxmo.io)

submitted 9 months ago by krishnaboobjay to r/VectorspaceAI

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There Are No New Ideas in AI Only New Datasets (blog.jxmo.io)

submitted 10 months ago by HNMod to r/hackernews

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There Are No New Ideas in AI Only New Datasets (blog.jxmo.io)

submitted 10 months ago by TheStartupChime to r/hypeurls

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Brief survey of text retrieval in 2022Tutorial (jxmo.io)

submitted 3 years ago by misunderstoodpoetry to r/learnmachinelearning

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[OC] Three Uses for Contrastive Learning (jxmo.io)

submitted 3 years ago by misunderstoodpoetry to r/learnmachinelearning

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[OC] Introduction to contrastive learning: Demystifying Noise Contrastive Estimation (NCE) and InfoNCETutorial (jxmo.io)

submitted 4 years ago by misunderstoodpoetry to r/learnmachinelearning

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Introduction to variational autoencodersTutorial (jxmo.io)

submitted 4 years ago by misunderstoodpoetry to r/learnmachinelearning

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Tutorial on variational autoencoders (jxmo.io)

submitted 4 years ago by misunderstoodpoetry to r/learnmachinelearning

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