Lukas Biewald & Clem Delangue , Gradient Dissent: Conversations on AI

Clément Delangue — The Power of the Open Source Community

10 Jun 2021 • 46 min • EN
46 min
00:00
46:35
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Clem explains the virtuous cycles behind the creation and success of Hugging Face, and shares his thoughts on where NLP is heading. --- Clément Delangue is co-founder and CEO of Hugging Face, the AI community building the future. Hugging Face started as an open source NLP library and has quickly grown into a commercial product used by over 5,000 companies. Connect with Clem: 📍 Twitter: https://twitter.com/ClementDelangue 📍 LinkedIn: https://www.linkedin.com/in/clementdelangue/ --- 🌟 Transcript: http://wandb.me/gd-clement-delangue 🌟 ⏳ Timestamps: 0:00 Sneak peek and intro 0:56 What is Hugging Face? 4:15 The success of Hugging Face Transformers 7:53 Open source and virtuous cycles 10:37 Working with both TensorFlow and PyTorch 13:20 The "Write With Transformer" project 14:36 Transfer learning in NLP 16:43 BERT and DistilBERT 22:33 GPT 26:32 The power of the open source community 29:40 Current applications of NLP 35:15 The Turing Test and conversational AI 41:19 Why speech is an upcoming field within NLP 43:44 The human challenges of machine learning Links Discussed: 📍 Write With Transformer, Hugging Face Transformer's text generation demo: https://transformer.huggingface.co/ 📍 "Attention Is All You Need" (Vaswani et al., 2017): https://arxiv.org/abs/1706.03762 📍 EleutherAI and GPT-Neo: https://github.com/EleutherAI/gpt-neo] 📍 Rasa, open source conversational AI: https://rasa.com/ 📍 Roblox article on BERT: https://blog.roblox.com/2020/05/scaled-bert-serve-1-billion-daily-requests-cpus/ --- Get our podcast on these platforms: 👉 Apple Podcasts: http://wandb.me/apple-podcasts​​ 👉 Spotify: http://wandb.me/spotify​ 👉 Google Podcasts: http://wandb.me/google-podcasts​​ 👉 YouTube: http://wandb.me/youtube​​ 👉 Soundcloud: http://wandb.me/soundcloud​ Join our community of ML practitioners where we host AMAs, share interesting projects and meet other people working in Deep Learning: http://wandb.me/slack​​ Check out Fully Connected, which features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, industry leaders sharing best practices, and more: https://wandb.ai/fully-connected

From "Gradient Dissent: Conversations on AI"

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