(GPT-2) Language Models are Unsupervised Multitask Learners | Paper Explained

Here’s another video from my GPT series where I analyze the GPT-2(Language Models are Unsupervised Multitasks Learners) paper. I took a closer look at data gathering process, results and safety concerns that prevented the initial public release of the model. Paper: https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Links: https://huggingface.co/datasets https://openai.com/blog/better-language-models/ ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Connect with me on: Linkedin - https://www.linkedin.com/in/maciej-balawejder-rt8015/ GitHub - https://github.com/maciejbalawejder Medium - https://medium.com/@maciejbalawejder Buy Me a Coffee - [https://www.buymeacoffee.com/mbalawejder](https://www.buymeacoffee.com/mbalawejder) ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Timestamps: https://www.seevid.ir/fa/w/9kT0XLPyHBg Introduction https://www.seevid.ir/fa/w/9kT0XLPyHBg GPT-1 Recap https://www.seevid.ir/fa/w/9kT0XLPyHBg Abstract https://www.seevid.ir/fa/w/9kT0XLPyHBg Dataset https://www.seevid.ir/fa/w/9kT0XLPyHBg Byte Pair Encoding https://www.seevid.ir/fa/w/9kT0XLPyHBg Architecture https://www.seevid.ir/fa/w/9kT0XLPyHBg Results https://www.seevid.ir/fa/w/9kT0XLPyHBg Lambada https://www.seevid.ir/fa/w/9kT0XLPyHBg CBT https://www.seevid.ir/fa/w/9kT0XLPyHBg Winograd Schema Challenge https://www.seevid.ir/fa/w/9kT0XLPyHBg CoQA https://www.seevid.ir/fa/w/9kT0XLPyHBg Summarization https://www.seevid.ir/fa/w/9kT0XLPyHBg Translation https://www.seevid.ir/fa/w/9kT0XLPyHBg Question Answering https://www.seevid.ir/fa/w/9kT0XLPyHBg Conclusions https://www.seevid.ir/fa/w/9kT0XLPyHBg Safety Concerns

• #science_technology
• #python
• #pytorch
• #machine_learning
• #artificial_intelligence
• #ai
• #ml
• #transformer
• #deep_learning
• #computer_vision
• #nlp