machine

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There have been tremendous advances made in making machine learning more accessible over the past few years. Online courses have emerged, well-written textbooks have gathered cutting edge research into an easier to digest format and countless frameworks have emerged to … Read more

For a software engineer, the hardest thing about developing Machine Learning functionality should be finding clean and representative ground-truth data, but it often isn’t. If you already have a source of good quality data (perhaps because it is already gathered … Read more

Abstract:We show that content on the web is often translated into many languages, and the low quality of these multi-way translations indicates they were likely created using Machine Translation (MT). Multi-way parallel, machine generated content not only dominates the translations … Read more

Do Machine Learning Models Memorize or Generalize? By Adam Pearce, Asma Ghandeharioun, Nada Hussein, Nithum Thain, Martin Wattenberg and Lucas Dixon August 2023 In 2021, researchers made a striking discovery while training a series of tiny models on toy tasks … Read more

I recently got an M2 MacBook Air to replace my 2014 MacBook Pro. Apple offered to recycle my old machine (and give me a token $90 off my new laptop as a trade-in), which I gladly opted-in to. However, when … Read more

jott – ml_pipes # Machine Learning with Unix Pipes *by [@bwasti](https://twitter.com/bwasti)* **** I contribute to an open source programmer-focused machine learning library called [Shumai](https://github.com/facebookresearch/shumai). Recently, we added some basic `/dev/stdin` handling, which makes it possible to compose standard Unix utilities … Read more

The first program to make significant headway at this, called BACON, was developed in the late 1970s by Patrick Langley, a cognitive scientist and AI researcher then at Carnegie Mellon University. BACON would take in, say, a column of orbital … Read more

I was on the job market recently, open to suggestions on what I should do next. I’m deeply thankful to all those who reached out and pitched their companies, and also to people who shared their wisdom of how they … Read more

For a software engineer, the hardest thing about developing Machine Learning functionality should be finding clean and representative ground-truth data, but it often isn’t. If you already have a source of good quality data (perhaps because it is already gathered … Read more