Transcript of 걸그룹보다 심한 AI 컴백 피로감 #shorts
홍정모
0:00When I look at other people's group0:01 chats, I see them getting confused,0:02 asking things like, "What model came0:04 out, what is this, and what is this?"0:06 It sometimes feels like chasing after a0:07 girl group. It feels like, "So-and-so0:10 released such-and-such new music, what0:12 style it is this time, and she came out0:14 with a new song and is dancing to0:15 such-and-such." But if you chase after0:18 it like that, there is no end to it.0:20 You don't need to feel stressed or0:22 think, "Oh, technical debt is so hard,0:23 I feel like I should do this." Just0:26 study. You just need to study the0:28 basics. A significant portion of the0:30 problem can be easily resolved. For0:31 example, many people suffer because of0:34 Leg. But the technologies used in Leg0:38 are actually traditional search0:40 technologies with LMs attached. From0:44 the perspective of those who worked0:45 with traditional search technologies,0:46 they are grateful that LMs have been0:48 introduced. If you approach it by0:50 thinking, "I had absolutely no interest0:52 in traditional search technologies, but0:53 why does LM make so many mistakes? Why0:56 is the accuracy so low?", you might end0:58 up wondering, "Do I need to use0:59 such-and-such libraries or Lange Chains1:00?" You get confused about whether to1:03 use the Lang graph or what new tool1:04 comes out next. Yes. That is why1:06 studying the basics is important.
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