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opensource.googleblog.com
| | blog.google
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| | From Imagen 4 and Veo 3 to Flow, try these new generative media tools today.
| | thealliance.ai
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| | Open source and open science in AI is a practical, proven approach to enabling access, innovation, trust, and value creation now. Let's focus on that as we better define it.
| | android-developers.googleblog.com
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| | News and insights on the Android platform, developer tools, and events.
| | 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.