Patrick Martin

1.1K posts

Patrick Martin

Patrick Martin

@patrickm145

data enthusiast, coder, idiot https://t.co/OtdFvCQsxR https://t.co/Yj8cPouKaJ https://t.co/kK1HFpskqx

Jacksonville Florida Katılım Ekim 2011
563 Takip Edilen213 Takipçiler
Patrick Martin retweetledi
Harristotle
Harristotle@Its_Harristotle·
@historyinmemes This is the machine Americans sit on every tax season.
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François Chollet
François Chollet@fchollet·
My interpretation of prompt engineering is this: 1. A LLM is a repository of many (millions) of vector programs mined from human-generated data, learned implicitly as a by-product of language compression. A "vector program" is just a very non-linear function that maps part of the latent space unto itself. 2. When you're prompting, you're fetching one of these programs and running it on an input -- part of your prompt serves as a kind of "program key" (as in database key) and part serves as program argument(s). Like, in "write this paragraph in the style of Shakespeare: {my paragraph}", the part "write this paragraph in the stye of X: Y" is a program key, with arguments X=Shakespeare and Y={my paragraph}. 3. The program fetched by your key may or may not work well for the task at hand. There's no reason why it should be optimal. There are lots of related programs to choose from. 4. Prompt engineering represents a search over many keys in order a find a program that is empirically more accurate for what you're trying to do. It's no different than trying different keywords when searching for a Python library. 5. Everything else is unnecessary anthropomorphism on the part of the prompter. You're not talking to a human who understands language the way you do. Stop pretending you are.
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Terence Parr
Terence Parr@the_antlr_guy·
I just released ANTLR Lab, a new playground for learning about ANTLR or experimenting with and testing grammars! Feedback welcome. :) My first js/css/html app (#painful but #productive). You can use my site or run locally: lab.antlr.org
Terence Parr tweet media
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Gerard Sans | Axiom 🇬🇧
Gerard Sans | Axiom 🇬🇧@gerardsans·
Everyone: dafuck are you doing? Me: confused trying to use a new API without looking at the docs 🤔🤣
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Phoenix
Phoenix@Phoenix__1776·
Get a cat they said, it will reduce your stress
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Brendan Dolan-Gavitt
Classic reverse engineering story – you spend a century trying to figure out how the damn thing works and then you discover that there's a PDF from the manufacturer with all the details somewhere on their site.
Brendan Dolan-Gavitt tweet media
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Terence Parr
Terence Parr@the_antlr_guy·
Launched a new website, explained.ai, dedicated to giving deep but intuitive explanations of machine learning and related topics.
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Patrick Martin
Patrick Martin@patrickm145·
@stevenstrogatz @MIT Great read! Most of this is applicable to any field involving knowledge transfer. The world has lost a very wise man.
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Steven Strogatz
Steven Strogatz@stevenstrogatz·
Along with being a great mathematician, Gian-Carlo Rota was a charming gentleman (he was very kind to me when I was a young professor at @MIT). Plus he was a wise, witty, and opinionated writer. Here he shares "Ten Lessons I wish I had been Taught": alumni.media.mit.edu/~cahn/life/gia…
Steven Strogatz tweet media
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Patrick Martin
Patrick Martin@patrickm145·
@the_antlr_guy @Google Can’t wait to see what this phase of your career brings, ANTLR remains my favorite tool when I am in need of a full featured DSL. Your achievement has enabled others to achieve so much more! Best of luck!
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Terence Parr
Terence Parr@the_antlr_guy·
Excited to announce that today is my first day as a tech lead at @Google, after 20 years in academia! Betcha didn't see that coming! I plan to continue working on open-source projects on the side (e.g., ANTLR, TensorSensor, explained.ai, etc).
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Patrick Martin retweetledi
Jowanza Joseph
Jowanza Joseph@Jowanza·
About 2 months ago I went to review a product I bought from Amazon and I ran into this message
Jowanza Joseph tweet media
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micah.fyi
micah.fyi@micahstubbs·
I welcome related work & bikeshedding over code quality metrics :-)
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Patrick Martin
Patrick Martin@patrickm145·
@DataRemixed I think that the purest goal of data visualization is to offer insight. A simple line chart over time or bar charts would have done better; if the goal was to communicate comparative gender literacy. Having said that, I dig new and innovative ways to show the same thing.
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Ben Jones
Ben Jones@DataRemixed·
I've seen time going from left-to-right & right-to-left but I think this is the first time I've seen both on the same chart. I misread it at first glance, thinking male rates were dropping, but another "non data person" I showed got it right away. What do you think about it?
Ben Jones tweet media
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