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📣 The Daily Ink is Going Even Less Daily
A quick update about posting cadence.
Apr 10, 2023
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📣 The Daily Ink is Going Even Less Daily
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Pipeline parallelism as a bandaid on memory limitations
Training on multiple GPUs (ML Systems I)
Apr 5, 2023
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Pipeline parallelism as a bandaid on memory limitations
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Large models as engines of computation
Using models for more than just generation
Apr 3, 2023
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Large models as engines of computation
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March 2023
Distilling models makes them feasible to use
The importance of making models smaller
Mar 31, 2023
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Distilling models makes them feasible to use
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Quadratic Complexity holds back the legendary transformer (Part 2)
Removing the attention block altogether
Mar 27, 2023
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Quadratic Complexity holds back the legendary transformer (Part 2)
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Quadratic Complexity holds back the legendary transformer (Part 1)
The next generation of architectures.
Mar 24, 2023
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Quadratic Complexity holds back the legendary transformer (Part 1)
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Composing models together makes them powerful
A look into what chaining models together looks like
Mar 22, 2023
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Composing models together makes them powerful
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Multi-modal models are the future
Google sticks a robot onto an LLM, or an LLM onto a robot
Mar 17, 2023
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Multi-modal models are the future
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Deep learning solves a 20-year long unsolved problem in science (Part 2)
Deepmind changes drug discovery and genetic research forever
Mar 15, 2023
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Deep learning solves a 20-year long unsolved problem in science (Part 2)
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Deep learning solves a 20-year long unsolved problem in science (Part 1)
DeepMind changes drug discovery and genetic research forever
Mar 13, 2023
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Deep learning solves a 20-year long unsolved problem in science (Part 1)
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Models can do calculus better than you
I'm sorry, I don't make the rules
Mar 10, 2023
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Models can do calculus better than you
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Is a group of expert models better than one very smart model?
Google says yes, and it's more efficient as well
Mar 8, 2023
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Is a group of expert models better than one very smart model?
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