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www.kolide.com | ||
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piszek.com
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| | | | | Why bother writing or coding when there's AI. What's the point of humanity? | |
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www.cs.uni.edu
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ryxcommar.com
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| | | | | A lot of new CS grads have been noting that is really hard to get a job. I've personally been contacted by a couple people, including outside of Twitter, about the difficulty of finding a job. I'm sure if you're reading this that you've heard some stories, too. Here I will attempt to provide some... | |
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lilianweng.github.io
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| | | [Updated on 2019-02-14: add ULMFiT and GPT-2.] [Updated on 2020-02-29: add ALBERT.] [Updated on 2020-10-25: add RoBERTa.] [Updated on 2020-12-13: add T5.] [Updated on 2020-12-30: add GPT-3.] [Updated on 2021-11-13: add XLNet, BART and ELECTRA; Also updated the Summary section.] I guess they are Elmo & Bert? (Image source: here) We have seen amazing progress in NLP in 2018. Large-scale pre-trained language modes like OpenAI GPT and BERT have achieved great performance on a variety of language tasks using generic model architectures. The idea is similar to how ImageNet classification pre-training helps many vision tasks (*). Even better than vision classification pre-training, this simple and powerful approach in NLP does not require labeled data for pre-training, allowing us to experiment with increased training scale, up to our very limit. | ||
