Row 25495

Row ID: 25495 | Dataset Entry | Axioma AXP Content Repository

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As I've studied language AI primarily, I'm getting used to multimodal AI. However it seems training methodologies are so diverse, not to mention evaluating those are much more difficult imo. At least, I've thought data in different modalities should be represented different spaces. Is there any 'better method(maybe)' researchers agree?

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text As I've studied language AI primarily, I'm getting used to multimodal AI. However it seems training methodologies are so diverse, not to mention evaluating those are much more difficult imo. At least, I've thought data in different modalities should be represented different spaces. Is there any 'better method(maybe)' researchers agree?
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-21
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{
  "text": "As I've studied language AI primarily, I'm getting used to multimodal AI. However it seems training methodologies are so diverse, not to mention evaluating those are much more difficult imo. At least, I've thought data in different modalities should be represented different spaces. Is there any 'better method(maybe)' researchers agree?",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5Lak1DRFgyVDByTU50VThfeUZmVUlCNGoyeW5tcnR5QnlMMTJIVllsLW8ycFNIZ01ORnFTeFVNT01TV3JnU3hmMTVpSDZpQTBwSnBZTHBpd1hMbFhjRWFheU9vSW8wRnFPZXpENEJyNEJhNzdHeWs9",
  "url_encoded": "Z0FBQUFBQm5Lak9TUC10UmZVaHRuZ0lpZVd3QmowZXNLS0Zwa2l2djNfOE4tN3UwRlI1LU1Fcm9DbktBa05YSEJaVFQ4cjZQamVxV25ncWszY0ltdXc1bjQ4NDM5SGI4UGFzSUYteEVxaHBNZGJWN0NGUHhFdWU0a1g5ejF2R0NLWURHWjJtSTI2OTk5bEdBYXN3TTNuaXJhZWpoQ2JVcmhUSk5USmIzVEVQRUczNEpXNG9RcGFyN0FmOFdLSXF2MG1xUVJlTDVDRHQzOFVTTWFEd2RmTmxXOE53LXQ2ZDZ5dz09"
}
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