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Had a great time talking about T5 and chatting with students
@NYUDataScience yesterday! I'm waiting to put slides online until I finish annotating them; in the meantime here is a recording of the same talk from when I gave it@allen_ai earlier this month: https://www.youtube.com/watch?v=eKqWC577WlI …https://twitter.com/sleepinyourhat/status/1222553470827405312 …
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Pleased to announce the release of PMIndia, a parallel corpus featuring 13 languages of India paired with English. Corpus: http://data.statmt.org/pmindia/ Paper: https://arxiv.org/abs/2001.09907 .Part of the
@GoURMET_MT project.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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“Wherever the mind wanders, restless & diffuse in its search for satisfaction without, lead it within; train it to rest in the Self. Abiding joy comes to those who still the mind. Freed from the taint of self-will, with consciousness unified, they become one”- Gita, on meditation
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Differentiable Digital Signal Processing (DDSP)! Fusing classic interpretable DSP with neural networks.
Blog: http://magenta.tensorflow.org/ddsp
Examples: https://g.co/magenta/ddsp-examples …
Colab: http://g.co/magenta/ddsp-demo …
Code: http://github.com/magenta/ddsp
Paper: http://g.co/magenta/ddsp-paper …
1/pic.twitter.com/SlxLUOUC6k
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Take an inside peek into the TensorFlow team’s own internal training sessions!
In this episode of Inside TensorFlow, you’ll learn more about the TensorFlow Model Optimization Toolkit, particularly in quantization and pruning.
Watch now → https://goo.gle/371PgIG pic.twitter.com/REZdx5FAcr
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@anandmahindra 94-year-old, Harbhajan Kaur, from#Chandigarh who started making sweets four years back wanted to fulfill her long-term dream of earning by herself. Here is her story, full of hope and motivation pic.twitter.com/f3jXwAC03r ode ! Entrepreneur indeed !
GoNewsIndia
Meet 94-Year-Old Sweet Maker From ChandigarhHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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State-of-the-Art Natural Language Processing in TensorFlow 2.0 Discover how you can use the
@HuggingFace Transformers library with TensorFlow to fine-tune a Transformer model. Read the blog ↓https://medium.com/tensorflow/using-tensorflow-2-for-state-of-the-art-natural-language-processing-102445cda54a …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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I think of intelligence as measured by the capacity to learn. AI that learns, corrects, grows...that's intelligence to me.
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Came across this paper http://arxiv.org/abs/1909.04925 today, very good insight about how exactly BERT works.
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I am preparing this list as a central repository which enlists resources to learn about
@TensorFlow 2.0. If you would like to add your recommendations reach out to me directly via http://sayak.dev .@GoogleDevExpert@GoogleDevsIN@GoogleAI@googledevspic.twitter.com/v3dlcdM4Nx
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All the other ways to learn
#cs224n remain available: materials at http://web.stanford.edu/class/cs224n/ , lecture videos at http://onlinehub.stanford.edu/cs224 or https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z … , next year’s regular SCPD course http://scpd.stanford.edu/search/publicCourseSearchDetails.do?method=load&courseId=11754 … or as a@Stanford student https://explorecourses.stanford.edu/search?q=CS+224N%3a+Natural+Language+Processing+with+Deep+Learning&view=catalog&filter-coursestatus-Active=on&academicYear=20192020 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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What people think starts with who they think they are -- their identity, their goals, their self-interest. From there, they form compatible opinions and worldviews. From these, they reason back to (selective) facts and data. It's rarely the other way around.
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Learning: 1) Make something. It sucks. 2) Realize it sucks. 3) Actually care about it. 4) Find ways to improve. 5) Try again; repeat forever. A lot of people get stuck at either 2) or 3). 4) and 5) are practically automatic if you pass 3).
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Hard questions in AI touch not only computer science, but also mathematics, cognitive science, and philosophy.
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Learning, both at the individual level and at the collective level (e.g. science) is largely about expecting something (formulating a hypothesis and running an experiment to test it) then checking whether reality validates or contradicts the expectation. To learn is to expect.
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You should never look down on anyone unless you fully understand them. And here's the thing: you can never fully understand anyone. We all have our traumas and our dreams and our battles that no one else knows about. So stay open-minded. And be kind.
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Čini se da učitavanje traje već neko vrijeme.
Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.