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rajan agarwal

@_rajanagarwal • 7,160 subscribers

@uwaterloo — prev research @amazonscience @trykino @cohere_labs

Shorts

cursor can now read ur terminal in real time! we built a subagent to watch logs, training runs, security alerts, and step in to patch code with the cursor-cli

cursor can now read ur terminal in real time! we built a subagent to watch logs, training runs, security alerts, and step in to patch code with the cursor-cli

119,456 次观看

make nanochat multimodal for < $10! this evening, i trained nanochatVL: via a projection model (llava-style) between SigLIP ViT and Andrej Karpathy nanochat to extend its understanding to images it's a huge wip rn, but have a few promising results! now i can finally sleep

make nanochat multimodal for < $10! this evening, i trained nanochatVL: via a projection model (llava-style) between SigLIP ViT and Andrej Karpathy nanochat to extend its understanding to images it's a huge wip rn, but have a few promising results! now i can finally sleep

104,885 次观看

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we built PokeOS. Poke now - interacts with your iMessage proactively - fills forms/searches on your local browser - can write/debug code directly in your IDE

we built PokeOS. Poke now - interacts with your iMessage proactively - fills forms/searches on your local browser - can write/debug code directly in your IDE

80,263 次观看 • 8 个月前

meet Shadow, a powerful open-source background coding agent! fully featured with a remote environment, codebase indexing/wikis and subagents to understand, write and test your code, directly making PRs to github built in a few weeks w/ ishaan dey, Elijah Kurien

meet Shadow, a powerful open-source background coding agent! fully featured with a remote environment, codebase indexing/wikis and subagents to understand, write and test your code, directly making PRs to github built in a few weeks w/ ishaan dey, Elijah Kurien

53,253 次观看 • 9 个月前

At Stanford this weekend, we built Nexus: a graph visualization software that helps you discover meaningful relationships at events We scraped Slack data to extract interests and backgrounds, then using NLP to find similarities!

At Stanford this weekend, we built Nexus: a graph visualization software that helps you discover meaningful relationships at events We scraped Slack data to extract interests and backgrounds, then using NLP to find similarities!

81,379 次观看 • 2 年前

we're turning University of Waterloo into a supercomputer! arceus is a cross-device distributed compute network for training large models, using model/tensor/pipeline parallelism. you can train anything, from deep neural networks to language models on the network. oss & deployment soon!

we're turning University of Waterloo into a supercomputer! arceus is a cross-device distributed compute network for training large models, using model/tensor/pipeline parallelism. you can train anything, from deep neural networks to language models on the network. oss & deployment soon!

35,534 次观看 • 1 年前

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