Row 99505

Row ID: 99505 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 99505 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I recently read an article talking about the AI Hype cycle, which in theory makes sense. As a practising Data Scientist myself, I see first-hand clients looking to want LLM models in their "AI Strategy roadmap" and the things they want it to do are useless. Having said that, I do see some great use cases for the LLMs.

Does anyone else see this going into the Hype Cycle? What are some of the use cases you think are going to survive long term?

[https://blog.glyph.im/2024/05/grand-unified-ai-hype.html](https://blog.glyph.im/2024/05/grand-unified-ai-hype.html)

FieldValue
text I recently read an article talking about the AI Hype cycle, which in theory makes sense. As a practising Data Scientist myself, I see first-hand clients looking to want LLM models in their "AI Strategy roadmap" and the things they want it to do are useless. Having said that, I do see some great use cases for the LLMs. Does anyone else see this going into the Hype Cycle? What are some of the use cases you think are going to survive long term? [https://blog.glyph.im/2024/05/grand-unified-ai-hype…
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-25
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Raw Record

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  "text": "I recently read an article talking about the AI Hype cycle, which in theory makes sense. As a practising Data Scientist myself, I see first-hand clients looking to want LLM models in their \"AI Strategy roadmap\" and the things they want it to do are useless. Having said that, I do see some great use cases for the LLMs.\n\nDoes anyone else see this going into the Hype Cycle? What are some of the use cases you think are going to survive long term?\n\n[https://blog.glyph.im/2024/05/grand-unified-ai-hype.html](https://blog.glyph.im/2024/05/grand-unified-ai-hype.html)",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-25",
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}
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