Merge pull request #150 from manikanta-hitunik-com/patch-148

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

Author: mikeckennedy

transcripts/465-the-ai-revolution-wont-be-monopolized.txt

@@ -2,7 +2,7 @@
 
 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.
 
@@ -72,9 +72,9 @@
 
 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.
 
@@ -192,7 +192,7 @@
 
 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.
 
@@ -250,9 +250,9 @@
 
 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
 
@@ -1152,7 +1152,7 @@
 
 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.
 
@@ -1808,7 +1808,7 @@
 
 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.
 
@@ -2645,4 +2645,3 @@
 01:08:39 [MUSIC ENDS]
 
 01:08:41 [MUSIC]
-