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The Problem with Timeseries Data in Machine Learning Feature Systems

www.etsy.com
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From Image Classification to Multitask Modeling: Building Etsy’s Search by Image Feature

www.etsy.com
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How We Built a Multi-Task Canonical Ranker for Recommendations at Etsy

www.etsy.com
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Barista: Enabling Greater Flexibility in Machine Learning Model Deployment

www.etsy.com
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Building Confidence: A Case Study in How to Create Confidence Scores for GenAI Applications

engineering.atspotify.com
Building Confidence: A Case Study in How to Create Confidence Scores for GenAI Applications TL;DR Getting a response from GenAI is quick and straightforward. But what about the confidence level for that response? In certain applications, especially in the financial domain, confidence scores are requ...
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What a Deep Neural Network thinks about your #selfie

karpathy.github.io
What a Deep Neural Network thinks about your #selfie Convolutional Neural Networks are great: they recognize things, places and people in your personal photos, signs, people and lights in self-driving cars, crops, forests and traffic in aerial imagery, various anomalies in medical images and all kin...
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Deep Reinforcement Learning: Pong from Pixels

karpathy.github.io
Deep Reinforcement Learning: Pong from Pixels This is a long overdue blog post on Reinforcement Learning (RL). RL is hot! You may have noticed that computers can now automatically learn to play ATARI games (from raw game pixels!), they are beating world champions at Go, simulated quadrupeds are lear...
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Short Story on AI: A Cognitive Discontinuity.

karpathy.github.io
Short Story on AI: A Cognitive Discontinuity. The idea of writing a collection of short stories has been on my mind for a while. This post is my first ever half-serious attempt at a story, and what better way to kick things off than with a story on AI and what that might look like if you extrapolate...
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(started posting on Medium instead)

karpathy.github.io
(started posting on Medium instead) The current state of this blog (with the last post 2 years ago) makes it look like I’ve disappeared. I’ve certainly become less active on blogs since I’ve joined Tesla, but whenever I do get a chance to post something I have recently been defaulting to doing it on...
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A Survival Guide to a PhD

karpathy.github.io
A Survival Guide to a PhD This guide is patterned after my “Doing well in your courses”, a post I wrote a long time ago on some of the tips/tricks I’ve developed during my undergrad. I’ve received nice comments about that guide, so in the same spirit, now that my PhD has come to an end I wanted to c...
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Short Story on AI: Forward Pass

karpathy.github.io
Short Story on AI: Forward Pass The inspiration for this short story came to me while reading Kevin Lacker’s Giving GPT-3 a Turing Test. It is probably worth it (though not required) to skim this post to get a bit of a background on some of this story. It was probably around the 32nd layer of the 40...
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Biohacking Lite

karpathy.github.io
Biohacking Lite Throughout my life I never paid too much attention to health, exercise, diet or nutrition. I knew that you’re supposed to get some exercise and eat vegetables or something, but it stopped at that (“mom said”-) level of abstraction. I also knew that I can probably get away with some i...
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A Recipe for Training Neural Networks

karpathy.github.io
A Recipe for Training Neural Networks Some few weeks ago I posted a tweet on “the most common neural net mistakes”, listing a few common gotchas related to training neural nets. The tweet got quite a bit more engagement than I anticipated (including a webinar :)). Clearly, a lot of people have perso...
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A from-scratch tour of Bitcoin in Python

karpathy.github.io
A from-scratch tour of Bitcoin in Python I find blockchain fascinating because it extends open source software development to open source + state. This seems to be a genuine/exciting innovation in computing paradigms; We don’t just get to share code, we get to share a running computer, and anyone an...
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Deep Neural Nets: 33 years ago and 33 years from now

karpathy.github.io
Deep Neural Nets: 33 years ago and 33 years from now The Yann LeCun et al. (1989) paper Backpropagation Applied to Handwritten Zip Code Recognition is I believe of some historical significance because it is, to my knowledge, the earliest real-world application of a neural net trained end-to-end with...
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Stop Trying To Replace Your SaaS Products With AI

staysaasy.com
AI is awesome - it can help people build things faster than ever before. On the other hand, it’s also convincing some CTOs that they can build versions of their SaaS tools internally, saving money and avoiding the pesky problems that come with having to deal with anything outside of their fiefdom. T...
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Using AI to Extract B2B Leads from Unstructured Data

nextword.substack.com
Using AI to Extract B2B Leads from Unstructured Data With AI, everything can be turned into a data pipeline AI agents for go-to-market are hyped, but most teams barely get past lead enrichment and writing email copy. The next wave in AI for GTM is to run background agents that scan unstructured data...
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Questions for Orienting Your SaaS Strategy

staysaasy.com
Setting strategy at a SaaS company has many pitfalls. As a software product, there are innumerable directions that you can steer your roadmap or your go-to-market (GTM). With the whole world arrayed in front of them, I often see companies make terrible strategic decisions because they don’t ask basi...
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Networking For People Who Don’t Network

staysaasy.com
These are the heuristics that I use for professional networking. I think I’m a pretty good networker, but not any sort of natural networking savant – I’ve just been able to find good results by following a few easy habits. Networking is kind of like working out: It’s easy to get started and a relati...
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A Practical Guide to Executive Presence: Earning Respect

staysaasy.com
This is a follow-up to one of our most popular posts, which contained practical advice on executive presence. As a refresher, I define executive presence as a set of behaviors that will influence others to fully listen to what you say – because they respect you, view you as reliable, and otherwise t...
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