DLeX: AI Python

Text preprocessing is an important step in NLP. Let's learn how to use the Hugging Face Tokenizers Library to preprocess text data.

With more board configurations than there are atoms in the universe, the ancient Chinese game of Go has long been considered a grand challenge for artificial intelligence. On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea for an extraordinary best-of-five-game competition, coined The DeepMind Challenge Match. Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history. Directed by Greg Kohs and with an original score by Academy Award nominee Hauschka, AlphaGo had its premiere at the Tribeca Film Festival. It has since gone on to win countless awards and near universal praise for a story that chronicles a journey from the halls of Oxford, through the backstreets of Bordeaux, past the coding terminals of DeepMind in London, and ultimately, to the seven-day tournament in Seoul. As the drama unfolds, more questions emerge: What can artificial intelligence reveal about a 3000-year-old game? What can it teach us about humanity? Best documentary winner: Denver International Film Festival (2017), Warsaw International Film Festival (2017), and Traverse City Film Festival (2017). Official selection at Tribeca Film Festival (2017), BFI London Film Festival (2017), and Critics' Choice Documentary Awards (2017). Find out more:

-- "I want my style of Go to be something different, something new, my own thing, something that no one has thought of before." Lee Sedol, Go Champion (18 World Titles). "We think of DeepMind as kind of an Apollo program effort for AI. Our mission is to fundamentally understand intelligence and recreate it artificially." Demis Hassabis, Co-Founder & CEO, DeepMind. "The Game of Go is the holy grail of artificial intelligence. Everything we've ever tried in AI, it just falls over when you try the game of Go." Dave Silver, Lead Researcher for AlphaGo.