Row 8383
Content Data
This page contains data entry 8383 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
Curious about how people are putting their RAG and other LLM powered applications into production today. How do you define LLM Ops? What is the process like in your team/company, and what combination of tools are you using today to implement or automate those processes and what are some of the gap areas.
I'm especially interested in what people are doing around the issue of efficiency scaling larger models across nodes in production settings. Do you apply any GPU virtualization/fractionalization and what are some good resources for these?
| Field | Value |
|---|---|
| text | Curious about how people are putting their RAG and other LLM powered applications into production today. How do you define LLM Ops? What is the process like in your team/company, and what combination of tools are you using today to implement or automate those processes and what are some of the gap areas. I'm especially interested in what people are doing around the issue of efficiency scaling larger models across nodes in production settings. Do you apply any GPU virtualization/fractionalizatio… |
| label | r/machinelearning |
| dataType | post |
| communityName | r/MachineLearning |
| datetime | 2024-05-19 |
| username_encoded | Z0FBQUFBQm5Lakw0di1RTFc4VTZnSXJZOVVnaUQtRzFoTE5SczhSOFc2Q0xNQjE0OWdMUEhJZkFMTWdJVEJzVC1YWVdTdWdxZElwakpTeDBIN19JNWpSdzhIcWxzeDVNbkE9PQ== |
| url_encoded | Z0FBQUFBQm5Lak9Ialo1aUMtQjBnc0xxNFhjWnpZNF9vM083TzNiZUlCQ09RSmhaVktKSXlGRzhtVmF5NWJaYTkxVEFYQ2FtUzRobUo3YnhvWHFRakw0RGN6U2I4UU50MW9YWEh2VEFFcHpCWWJBaFc1eHpoNFBxODdpbXpySXFTSG5yRUszSnFDY2xGZ3A3S2t4N0dWTGxYeVQ5OFhPTTkwZUJJMG5OV1dQYThCYTh5MG1DMUxzbDEwY0IzN0FVS1ZQVWZ3bHRtOFZSb1JETXhLU2ZuMGtwVHdVUnRRR0Z2QT09 |
Raw Record
{
"text": "Curious about how people are putting their RAG and other LLM powered applications into production today. How do you define LLM Ops? What is the process like in your team/company, and what combination of tools are you using today to implement or automate those processes and what are some of the gap areas.\n\nI'm especially interested in what people are doing around the issue of efficiency scaling larger models across nodes in production settings. Do you apply any GPU virtualization/fractionalization and what are some good resources for these? ",
"label": "r/machinelearning",
"dataType": "post",
"communityName": "r/MachineLearning",
"datetime": "2024-05-19",
"username_encoded": "Z0FBQUFBQm5Lakw0di1RTFc4VTZnSXJZOVVnaUQtRzFoTE5SczhSOFc2Q0xNQjE0OWdMUEhJZkFMTWdJVEJzVC1YWVdTdWdxZElwakpTeDBIN19JNWpSdzhIcWxzeDVNbkE9PQ==",
"url_encoded": "Z0FBQUFBQm5Lak9Ialo1aUMtQjBnc0xxNFhjWnpZNF9vM083TzNiZUlCQ09RSmhaVktKSXlGRzhtVmF5NWJaYTkxVEFYQ2FtUzRobUo3YnhvWHFRakw0RGN6U2I4UU50MW9YWEh2VEFFcHpCWWJBaFc1eHpoNFBxODdpbXpySXFTSG5yRUszSnFDY2xGZ3A3S2t4N0dWTGxYeVQ5OFhPTTkwZUJJMG5OV1dQYThCYTh5MG1DMUxzbDEwY0IzN0FVS1ZQVWZ3bHRtOFZSb1JETXhLU2ZuMGtwVHdVUnRRR0Z2QT09"
}
Entry Information
- Entry ID: 8383
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000