Row 7917

Row ID: 7917 | Dataset Entry | Axioma AXP Content Repository

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How would people set up the new interactive table feature in chatgpt, from an api perspective? I'm not concerned about the frontend but how the data could be ingested and used by the api.

When a user uploads a csv, does an LLM even come into play? Or is the csv just parsed and rendered? Seems maybe the latter. And then the graph is created maybe with a function call?

I'm interested in vanilla openai suggestions.

FieldValue
text How would people set up the new interactive table feature in chatgpt, from an api perspective? I'm not concerned about the frontend but how the data could be ingested and used by the api. When a user uploads a csv, does an LLM even come into play? Or is the csv just parsed and rendered? Seems maybe the latter. And then the graph is created maybe with a function call? I'm interested in vanilla openai suggestions.
label r/openai
dataType post
communityName r/OpenAI
datetime 2024-05-18
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Raw Record

{
  "text": "How would people set up the new interactive table feature in chatgpt, from an api perspective? I'm not concerned about the frontend but how the data could be ingested and used by the api. \n\nWhen a user uploads a csv, does an LLM even come into play? Or is the csv just parsed and rendered? Seems maybe the latter. And then the graph is created maybe with a function call? \n\nI'm interested in vanilla openai suggestions. ",
  "label": "r/openai",
  "dataType": "post",
  "communityName": "r/OpenAI",
  "datetime": "2024-05-18",
  "username_encoded": "Z0FBQUFBQm5LakwzSVdPbG5UWWd2d2VlYmVvWFZsbTJXLXUyRzBWM3QyUHBDVmF2TloxZHNXbXVPQ1hIdVhOYjdrc1YzM0xaZ1ZzYzJXRGFWYTgxTGZfVVJOQ21pTzlBQ3c9PQ==",
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}
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