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iconoir.com
fr.wikipedia.org
www.argent.xyz
www.readthegeneralist.com
www.youtube.com
eips.ethereum.org
fleek.co
www.wordreference.com
www.justwatch.com
www.artstation.com
www.youtube.com
www.youtube.com
www.critterandguitari.com
www.materiel-aventure.fr
sonicware.jp
blog.darknedgy.net
www.youtube.com
patchstorage.com
synthstrom.com
www.youtube.com
www.youtube.com
aerodrums.com
www.youtube.com
arxiv.org
We demonstrate that a neural network pre-trained on text and fine-tuned on code solves Mathematics problems by program synthesis. We turn questions into programming tasks, automatically generate programs, and then execute them, perfectly solving university-level problems from MIT's large Mathematics courses (Single Variable Calculus 18.01, Multivariable Calculus 18.02, Differential Equations 18.03, Introduction to Probability and Statistics 18.05, Linear Algebra 18.06, and Mathematics for Computer Science 6.042), Columbia University's COMS3251 Computational Linear Algebra course, as well as questions from a MATH dataset (on Prealgebra, Algebra, Counting and Probability, Number Theory, and Precalculus), the latest benchmark of advanced mathematics problems specifically designed to assess mathematical reasoning. We explore prompt generation methods that enable Transformers to generate question solving programs for these subjects, including solutions with plots. We generate correct answers for a random sample of questions in each topic. We quantify the gap between the original and transformed questions and perform a survey to evaluate the quality and difficulty of generated questions. This is the first work to automatically solve, grade, and generate university-level Mathematics course questions at scale. This represents a milestone for higher education.
isync.sourceforge.io
github.com
imapsync.lamiral.info
www.onegreenplanet.org
blogs.nvidia.com
bastl-instruments.com
noise.kitchen
www.youtube.com
www.youtube.com
www.societe.ninja
www.wordreference.com
sorbet.org
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pi.math.cornell.edu
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www.simplethread.com
www.wordreference.com
twitter.com
alpinelinux.org
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www.serverless.com
www.instagram.com
www.larousse.fr
fr.wikipedia.org
www.lecoindesentrepreneurs.fr
www.youtube.com
bpifrance-creation.fr
www.juriste-linguiste.com
www.wordreference.com
soundcloud.com
liorsinai.github.io
www.cine-super8.net
sametmax2.com
docs.docker.com
en.wikipedia.org
pipedream.com
Pipedream is a low code integration platform for developers that allows you to connect APIs remarkably fast. Stop writing boilerplate code, struggling with authentication and managing infrastructure. Start connecting APIs with code-level control when you need it â and no code when you don't. Join 500âŻ000+ developers using the Pipedream platform today. Get started for free.
www.appsmith.com
github.com
nodered.org
www.truesource.io
www.airtable.com
firebase.google.com
firebase.google.com
aws.amazon.com
docs.meilisearch.com
docs.docker.com
kubernetes.io
podman.io
www.nomadproject.io
doc.ubuntu-fr.org
wiki.archlinux.org
wiki.archlinux.org
wiki.archlinux.org
wiki.archlinux.org
pages.cloudflare.com
constructionphysics.substack.com
www.darlinghq.org
wails.io
fr.wikipedia.org
www.amazon.fr
www.youtube.com
fr.wikipedia.org
www.allocine.fr
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www.muppetlabs.com
defensewiki.ibj.org
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drodio.com
eduardosasso.co
www.wordreference.com
minitokyo3d.com
emysound.com
todomvc.com
blog.cryptographyengineering.com
www.epicgames.com
blog.acolyer.org
paperswelove.org
www.youtube.com
www.youtube.com
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zverok.github.io
nicktasios.nl
www.flaticon.com
uigradients.com
www.youtube.com
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gobolinux.org
www.sieben.fr
devdojo.com
tailwindui.com
daisyui.com
simplevisor.readthedocs.io
replicated.cc
princejs.com
www.wordreference.com
fr.wikipedia.org
iocage.readthedocs.io
marcocetica.com
pm2.keymetrics.io
sponsor.ajay.app
pi-hole.net
kb.mozillazine.org
www.papershoot.com
www.wordreference.com
www.wordreference.com
aws.amazon.com
news.ycombinator.com
news.ycombinator.com
www.cnrtl.fr
www.sqlite.org
labs.ripe.net
twitter.com
fly.io
irrexplorer.nlnog.net
arxiv.org
Dimension reduction (DR) techniques such as t-SNE, UMAP, and TriMAP have demonstrated impressive visualization performance on many real world datasets. One tension that has always faced these methods is the trade-off between preservation of global structure and preservation of local structure: these methods can either handle one or the other, but not both. In this work, our main goal is to understand what aspects of DR methods are important for preserving both local and global structure: it is difficult to design a better method without a true understanding of the choices we make in our algorithms and their empirical impact on the lower-dimensional embeddings they produce. Towards the goal of local structure preservation, we provide several useful design principles for DR loss functions based on our new understanding of the mechanisms behind successful DR methods. Towards the goal of global structure preservation, our analysis illuminates that the choice of which components to preserve is important. We leverage these insights to design a new algorithm for DR, called Pairwise Controlled Manifold Approximation Projection (PaCMAP), which preserves both local and global structure. Our work provides several unexpected insights into what design choices both to make and avoid when constructing DR algorithms.
www.wordreference.com
www.wordreference.com
kit.svelte.dev
remix.run
play.tailwindcss.com
www.flickr.com
packagecontrol.io
httptoolkit.tech
fr.wikipedia.org
www.deidivonschaewen.com
startupbook.net
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fr.wikipedia.org
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store.steampowered.com
store.steampowered.com
store.steampowered.com
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benwajdi.com
It also taught me not to skim through PDFsâand instead read them, and take detailed notes of the material I read. These notes have accumulated into an archive of my notes; it is one of my most valuable assets.
www.wordreference.com
www.wordreference.com
getfreewrite.com
www.oilshell.org
www.wordreference.com
careers.sig.com
www.pontdarc-ardeche.fr
asianwiki.com
www.dyndns.fr
freedns.afraid.org
ydns.io
shop.spoon-tamago.com
nimbus.team
www.francetvinfo.fr
www.graphviz.org
tinydb.readthedocs.io
www.methodsandtools.com