Dec 02 2019 60 mins 12
In the second episode of Deep Neural Notebooks, I talk with Thomas Wolf.
Thomas is the Chief Science Officer at HuggingFace, a Brooklyn based start-up that aims at building the first truly social artificial intelligence. His interesting background includes a PhD in Quantum Physics and a degree in Law, followed by a five-year long career as a Patent Attorney, before his passion for Science brought him to HuggingFace. Thomas, and his team at HuggingFace believes in the power of Open Source and have been active contributors on Github, sharing their research and progress, allowing the development of technology for the better.
In this episode, we talk about his diverse career background- his journey from Physics to Law to Deep Learning and Conversational Agents. We also talk about the vision at HuggingFace, the challenges in building a long-term, companion-like Conversational Agent, the state of Natural Language Processing, and how we can do better.
Links:
Thomas Wolf: https://twitter.com/Thom_Wolf , http://thomwolf.io/
HuggingFace: https://huggingface.co
HuggingFace’s Open Source Chatbot Repository (NeurIPS’18 ConvAI2 submission): https://github.com/huggingface/transfer-learning-conv-ai
Magic-Sand: https://github.com/thomwolf/Magic-Sand
Magic-Sand tutorial: https://imgur.com/gallery/Q86wR
Deep Neural Notebooks:
Deep Neural Notebooks is a podcast where I like to discuss a multitude of topics, ranging from Deep Learning and Computer Vision to Neuroscience and Open Source Software, through conversations with experts about their thoughts on the state of their specialisations, how things fit into the bigger picture, their journey so far and the road ahead.
I believe that it is through conversations like these that we can boil down the essence of vast resources of knowledge and expertise into more consumable bits that can enrich our understanding of concepts and technologies that are shaping our world.
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