NLP-progress — Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
It may not be stored there, but what you're tapping into, it's not a repository of the memory, but it's part of this mind-body feedback loop where there's a sensation that your brain has an association to that might have a familiarity to a time in which you felt sad or scared.
New: emulate a GitHub App in a few lines of TypeScript Generated App keys, installation auth and stateful repository APIs Develop locally, test in CI or give sandboxed agents their own isolated GitHub environment
it's always weird to me just how much software engineers really seem to believe that the world exists in the repo. It doesn't. It's production, you know?
This book is a beautiful introduction to simulations of natural systems. We get concise prose, clear illustrations, and carefully chosen systems with a guided tour through the math. All done in the Processing language, which is fun and easy to pick up. The reason I like this book so much is probably due to timing. In 2013, I was on the verge of abandoning software development. I was fed up. (That's a story for another time.) Instead, I planned to go into cognitive psychology full-time as a researcher. This book brought back the joy in programming for me. Sometimes, a good book is the book that motivated you.
The overall US warming trend (around 0.5F per decade since 1970 in max, min, and mean temperatures) is robust in every dataset, raw or adjusted, satellite or surface.
They just published a secondary analysis of the active trial that showed that um those who did processing speed training with uh booster sessions at one and three years had a significantly decreased risk of dementia 20 years later.
You know, there's open source and there's open development. And and and we were technically open source in the beginning, but it was not open development. We would sort of lob the source code out in this repository and scrape the issues off of that and put it into our internal issue tracker.
Our market reach is far greater than any any TPU can any ASA can possibly have. And so if you look at our position, uh we're the only company that that accelerates applications of all kinds.
And I've gotten to a certain point and I thought it was like fairly well tuned and then I let auto research go for like overnight and it came back with like tunings that I didn't see.
Over thirteen lessons, you’ll learn about the past, present, and future of meat, from the ways animals and humans are treated in meat processing plants to emerging meat alternatives.
Booth's formally trained (and her grandparents are watercolor artists!) but her use of color is just so free and unexpected, it makes you want to experiment yourself and join along in the fun.
AI has been compared to various historical precedents: electricity, industrial revolution, etc., I think the strongest analogy is that of AI as a new computing paradigm (Software 2.0) because both are fundamentally about the automation of digital information processing.
Over the past few decades, journal editors and peer-reviewers have increasingly insisted that papers must present large datasets that have been treated using complex statistical methods in order to make even the mildest claims about what caused what.
The overall workflow is intuitive, especially for those new to formal evaluation processes. The UI guides you through creating datasets, running experiments, and annotating results.
However, current understanding and evaluation of world models in artificial intelligence (AI) remains narrow, often focusing on static representations learned from training on massive corpora of data, instead of the efficiency and efficacy in learning these representations through interaction and exploration within a novel environment.
It's the same reason why I recommend learning how to type and learning your editor so well you don't even have to think about the action because the people that have to... Even if you just look down, that's still mental processing power you have to spend looking at a keyboard in which you already know where the key is.
And the history of NLP and language processing instruction, tuning and tasks per language model used to be like one language model did one task, and then in the instruction tuning literature, there's this point where you start adding more and more tasks together where it just starts to generalize to every task. And we don't know where on this curve we are.
And we'll get into the details of the models and again and again as we try to get deeper into how the models were trained, we will say things like the data processing, data filtering data quality is the number one determinant of the model quality.
I also read a ton of technical books last year, but the most impactful one for me was Neural Network Methods for Natural Language processing by Yoav Goldberg
I liked Mem’s editing experience within notes because it resembled word processing, without extra steps getting in the way. But I found the app otherwise surprisingly lacking in basic functionality, despite its polished appearance.
Just as in the sciences it is considered good practice to make one’s data available, in history it should perhaps be a requirement to upload to some public repository the photographs or transcriptions of any cited archival sources that are not otherwise freely accessible online.
But in terms of what we value the most as humans, which is to say our feelings, our emotions, our sense of what the world is in a very personal way that I think means as much or more to people than their information processing. And that’s where I don’t think that AI necessarily will become conscious because I think it’s the property of life.
This is a powerful repository hub for Git that enhances Windows Explorer with git superpowers! See your git details in your Windows Explorer title bar!
When I'm writing articles etc that need to be shared with an editor, I typically write in Microsoft Word. I hate all word processing software, and anyone who insists that Google Docs is so much better than Word is a liar.
A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com.
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.