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Update 465-the-ai-revolution-wont-be-monopolized.txt #150

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17 changes: 8 additions & 9 deletions transcripts/465-the-ai-revolution-wont-be-monopolized.txt
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00:00:05 a space destined to be controlled by a couple of tech giants.

00:00:08 But Enos Montani thinks open source will play an important role in the future of AI.
00:00:08 But Ines Montani thinks open source will play an important role in the future of AI.

00:00:13 I hope you join us for this excellent conversation about the future of AI and open source.

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00:02:07 The link is in your podcast player show notes.

00:02:09 Now on to more AI and Spacy with Enos.
00:02:09 Now on to more AI and Spacy with Ines.

00:02:12 Enos, welcome back to Talk Python with me.
00:02:12 Ines, welcome back to Talk Python with me.

00:02:14 Yeah, thanks for having me back again.

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00:04:49 That's kind of where we started and what we've always been focusing on.

00:04:53 So Spacey is probably what we're mostly known for, which is a popular open source library
00:04:53 So Spacy is probably what we're mostly known for, which is a popular open source library

00:04:58 for really what we call industrial strength NLP.

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00:06:30 tech posts up, but are completely bullshit and completely wrong.

00:06:34 Like I saw with something on Spacey LLM, which is our extension for integrating large language
00:06:34 Like I saw with something on Spacy LLM, which is our extension for integrating large language

00:06:40 models into Spacey.
00:06:40 models into Spacy.

00:06:41 And they're like some blog posts that look like they're tech blog posts, but they're

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00:30:27 It's kind of what we distribute for spacey.

00:30:30 There's also a lot of really cool community projects like SciSpacey for scientific biomedical
00:30:30 There's also a lot of really cool community projects like SciSpacy for scientific biomedical

00:30:37 techs.

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00:49:10 or some answer.

00:49:11 You know, we also have like, for example, you can use something like spacey LLM that
00:49:11 You know, we also have like, for example, you can use something like spacy LLM that

00:49:14 lets you plug in any model in the same way you would otherwise train a model yourself.

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01:08:39 [MUSIC ENDS]

01:08:41 [MUSIC]