Row 49654
Content Data
This page contains data entry 49654 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
I can think of a few business cases where 80% is good enough. And a lot of the limitations of those models can also be worked around (e.g. citing sources) with RAG or implementing an escalation system.
| Field | Value |
|---|---|
| text | I can think of a few business cases where 80% is good enough. And a lot of the limitations of those models can also be worked around (e.g. citing sources) with RAG or implementing an escalation system. |
| label | r/machinelearning |
| dataType | comment |
| communityName | r/MachineLearning |
| datetime | 2024-05-22 |
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| url_encoded | Z0FBQUFBQm5Lak9odlA2YVhnay1hVW1hdkQ1SDFsT2w4U3FuNzkyb0U0Rm9iaTg2NF9FNW5ZNktueHVHMGRLYVlnU28tZWdlbUFwUTZqemZ4X0tPZ0p6WXhseVhxcTN1WjdGZ1dKdW9ucGtMbmJMQVFZbnpXVUw3dnNISzE1SXZBYkFfRG1qcnFpVFFJUVljLWJCUnY4dGNUbnV6QlQ3WE05V29MTTREOE5Ua2hnU2N1YUNaZy1fbm5LUmF0a2dBTkEwbXBjNFdtSmlrTXRfSG42TmIxN0lVSTJnVnVpcXVoalpOZnBtRWRqcmtSbl9za1F1czYyWT0= |
Raw Record
{
"text": "I can think of a few business cases where 80% is good enough. And a lot of the limitations of those models can also be worked around (e.g. citing sources) with RAG or implementing an escalation system.",
"label": "r/machinelearning",
"dataType": "comment",
"communityName": "r/MachineLearning",
"datetime": "2024-05-22",
"username_encoded": "Z0FBQUFBQm5Lak1Tblg1SXZmdWtBNkduWmRQRDdhcjlLeWVZdTlpa2twNTFLQVYyb2pIaDJwMzM4RFc3eTRRRUoxWXBpWnB4NXRoa1BCMTdYOGx0NnJZWms0Y0cwbDlraWc9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9odlA2YVhnay1hVW1hdkQ1SDFsT2w4U3FuNzkyb0U0Rm9iaTg2NF9FNW5ZNktueHVHMGRLYVlnU28tZWdlbUFwUTZqemZ4X0tPZ0p6WXhseVhxcTN1WjdGZ1dKdW9ucGtMbmJMQVFZbnpXVUw3dnNISzE1SXZBYkFfRG1qcnFpVFFJUVljLWJCUnY4dGNUbnV6QlQ3WE05V29MTTREOE5Ua2hnU2N1YUNaZy1fbm5LUmF0a2dBTkEwbXBjNFdtSmlrTXRfSG42TmIxN0lVSTJnVnVpcXVoalpOZnBtRWRqcmtSbl9za1F1czYyWT0="
}
Entry Information
- Entry ID: 49654
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000