Chris Benson and Daniel Whitenack host a weekly podcast about making AI practical and accessible. They discuss NLP tools like Spacey and tackle questions like whether to optimize existing systems or build support for under-resourced languages.
Practical AI is a weekly podcast that's making artificial intelligence practical, productive, and accessible to everyone. If the world of AI affects your daily life, this show is for you. From the practitioner wanting to keep up with the latest tools and trends.
Spacey is really a library that lets you put together a whole NLP pipeline of the different things you might want to do and extract from your text. You know, you're not just interested in predicting one thing you might want to read in your text. You want to find the individual sentences. You want to find out which concepts are mentioned in the text, like which person names, organizations, dates. And then you also maybe want to predict something about like what's in the.
Text to the AI. Curious Trying to understand the concepts at play and their implications on our lives.
Would you rather be spending your time improving your Bleu score by 0.1 on French to English, or would you rather have a breakthrough on kind of that under resourced language that, by the way, has 350 million people using it in underprivileged areas around the world?
Here's your expert hosts.
My name is Chris Benson. I am a principal AI strategist at Lockheed Martin, and with me, as always, is Daniel Whitenack, a data scientist with SIL International. Hey, how's it going today, Daniel?
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