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You can check out the code here.
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You can check out the code here.
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You can check out the code here.
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Why do you need people management?
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turbopuffer is all the rage in vector dbs!
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Many people are talking about the power of newer and newer AI agents, and what’s SOTA today is expiring tomorrow.
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This post started from researching recent stream processing solutions like RisingWave and Materialize.
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There are many aspects of AWS EC2 instances.
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There are a lot of analogies between people in a team setting, and computers.
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Jotting down the notes.
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What’s a “Senior Engineer”?
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There aren’t many ways to become better at work as a team.
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Note: this doc’s audience is leadership & managers.
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Terence shares how Clearview AI’s infra needs evolved and why they chose ScyllaDB after first-principles research.
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I presented at the local MadPy meetup group on the new possibilities in the Python ecosystem in light of recent development in the Rust world.
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I wanted to write this post after juggling PBs of (non-tabular) data in the past year at work, and having experienced first-hand how amazing the Big Data landscape is morphing into in the mid-2020s.
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Started learning Mojo, and watched this deep dive on ownership when it came out: Just summarizing the value and reference semantics across three langauges: C++, Rust, and Mojo: C++: copy: `func(string s)`, caller `func(s)` move: `func(string&& s)`, caller…
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You can check out the code here.
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You can check out the code here.
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You can check out the code here.
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I’ve been looking into training some big datasets (500GBs ~ several TBs) of small images with PyTorch.
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Updated Oct 7, 2024: use unsafe but correct and faster array content copy to go from 3x to 4x.
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In this post, I would like to explore the idea of using embedding vectors to represent code snippets, and compute the cosine similarity scores between a few examples.
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I’ve long been curious but hesitant about using embedding vectors generated from pre-trained neural networks with self-supervision.
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The stars are aligned.
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I originally intended to leave this as a short paragraph, in the middle of a thought piece after learning Rust for a week.
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I recently came across an article by Andrej Karpathy, ex-Sr.
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This is a quick note on how to use openmp or rather, any multithreading library to divide the underlying data.
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For people who fool around in the small field of Approximate Nearest Neighbors (ANN) search, Faiss and hnswlib are two big names.
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Not every business needs a Research function, certainly not every startup.
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You learned about this in college classes.