Ajit

372 posts

Ajit

Ajit

@ajitk

Founder: Distill

Katılım Mart 2007
591 Takip Edilen54 Takipçiler
Ajit
Ajit@ajitk·
@simonw Great plugin! We recently built a Datasette plugin to save GPT4's response, which can be reviewed and edited manually. The data is then be used for finetuning. Enrichments and comments plugin could work really well.
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Mckay Wrigley
Mckay Wrigley@mckaywrigley·
Want to learn? Go build something.
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Bernhard Schölkopf
Bernhard Schölkopf@bschoelkopf·
Another AI paradox: people are excited about LLMs, some even think that AGI is just around the corner. But some students are depressed how they can still get a PhD. Is it becoming pointless? Some personal notes on this. (1/8)
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Nat Friedman
Nat Friedman@natfriedman·
Five months later
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Jeremy Howard
Jeremy Howard@jeremyphoward·
Big news: we're launching a new course in <4 weeks. "From Deep Learning Foundations to Stable Diffusion". Bigger news: for this course, we're teaming up with @StabilityAI! AFAIK, this is the 1st course that covers every method used in Stable Diffusion. fast.ai/posts/part2-20…
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Distill
Distill@distill_io·
Use Distill's webhook actions to track web page changes in Google Sheets - Analyze and integrate data into any application. distill.io/blog/how-to-sa…
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Nick
Nick@nickcammarata·
dall-e 2 illustrations of my friends' twitter bios
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Peter Reinhardt
Peter Reinhardt@reinpk·
As Segment grew from open source afterthought to the leading customer data platform, we "refound" product market fit several times. Surprising to me as a product person, our biggest learnings in PMF were from wildly uncomfortable questions from our sales team 👀 a thread 1/14
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John Carmack
John Carmack@ID_AA_Carmack·
I often think about the “Read what you love until you love to read” comment from @naval , and this is a good generalization. My experience has been that it is easier to educate a Do-er than to motivate the educated; you have to believe you can Do before you embark on an effort.
AKIRA THE DON@akirathedon

Do what you love until you love to Do

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Ajit
Ajit@ajitk·
@PetarV_93 Thanks for sharing these! Are GNNs suitable for information retrieval from webpages?
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Petar Veličković
Petar Veličković@PetarV_93·
As requested , here are a few non-exhaustive resources I'd recommend for getting started with Graph Neural Nets (GNNs), depending on what flavour of learning suits you best. Covering blogs, talks, deep-dives, feeds, data, repositories, books and university courses! A thread 👇
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Jeremy Howard
Jeremy Howard@jeremyphoward·
I've been working with @GuggerSylvain for a long time to create something that combines the best of @ProjectJupyter Notebooks with the best of traditional software development approaches. It's called nbdev. We're releasing it today as open source. fast.ai/2019/12/02/nbd… 1/
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Rich Harris
Rich Harris@Rich_Harris·
My talk from @jscamp, "The Return of 'Write Less, Do More'" is up on YouTube: youtube.com/watch?v=BzX4aT… It's a 30 min talk on @sveltejs, and why less code = fewer bugs — kind of a sequel to "Rethinking Reactivity" (twitter.com/Rich_Harris/st…) Here's a summary thread:
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YouTube
Rich Harris@Rich_Harris

My talk from @YGLF_IL, 'Rethinking Reactivity', went online yesterday — youtu.be/AdNJ3fydeao. You probably don't have time to watch a 35 minute video though, so I'm going to pull out a few key slides into a quick tweet thread:

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Tom Randall
Tom Randall@tsrandall·
This @exxonmobile chart from 1982 predicted that in 2019 our atmospheric CO2 level would reach about 415 parts per million, raising the global temperature roughly 0.9 degrees C. Update: The world crossed the 415 ppm threshold this week and broke 0.9 degrees C in 2017 1/
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