Row 5076

Row ID: 5076 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 5076 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I have no idea what "GPT" you are using. I run models locally on my own hardware with Ollama. (20gb V-ram with a workstation card) Might help if you explain a bit more of exactly what you are doing. What service you are using. Ect... I wrote my own application in Java to act as a user interface with Ollama

There is a feature called "Context" that keeps the current conversation in memory. The models themselves handle it and pass it back to you as part of the response Json. You need to grab the "Context" and pass it back along with your next call. The response will then contain the appended one.

[https://github.com/ollama/ollama/blob/main/docs/api.md](https://github.com/ollama/ollama/blob/main/docs/api.md)

`context`: the context parameter returned from a previous request to `/generate`, this can be used to keep a short conversational memory

FieldValue
text I have no idea what "GPT" you are using. I run models locally on my own hardware with Ollama. (20gb V-ram with a workstation card) Might help if you explain a bit more of exactly what you are doing. What service you are using. Ect... I wrote my own application in Java to act as a user interface with Ollama There is a feature called "Context" that keeps the current conversation in memory. The models themselves handle it and pass it back to you as part of the response Json. You need to grab the…
label r/gpt
dataType comment
communityName r/GPT
datetime 2024-04-25
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url_encoded Z0FBQUFBQm5Lak9GcU1yajNDeXE4cURWVi0xZjdmWkVqWXJGMEpodVNOVHFVLTRmODBNVTJYRkRTLXJhNjN1aHFabTVnZ0FpLVMzaUVEQnEtV1RaNVVITVRaaWdaODVjSmdyd2xhRTh1ZDltaFdCeHowdmFxMHoxTGtHcVh1RG1LQk5adGdUTy1qNWhfYUNhdGwtZHpFVnljTWpZUGtDdUVBMjk0Z1pVU0ExSENOck00Z0tPNTZIdFdFZHg3LVpZYUZmc043ZFlDMk9QWjlrWVYzNko1X1V2R3NyTzBwNWJjUT09

Raw Record

{
  "text": "I have no idea what \"GPT\" you are using. I run models locally on my own hardware with Ollama. (20gb V-ram with a workstation card)  \nMight help if you explain a bit more of exactly what you are doing. What service you are using. Ect... I wrote my own application in Java to act as a user interface with Ollama\n\nThere is a feature called \"Context\" that keeps the current conversation in memory. The models themselves handle it and pass it back to you as part of the response Json. You need to grab the \"Context\" and pass it back along with your next call. The response will then contain the appended one.\n\n[https://github.com/ollama/ollama/blob/main/docs/api.md](https://github.com/ollama/ollama/blob/main/docs/api.md)\n\n`context`: the context parameter returned from a previous request to `/generate`, this can be used to keep a short conversational memory",
  "label": "r/gpt",
  "dataType": "comment",
  "communityName": "r/GPT",
  "datetime": "2024-04-25",
  "username_encoded": "Z0FBQUFBQm5LakwyOXJVMm8zYzNnYXBiZkJTVU9sREZEeTFuT1V4V3R1ampqa0pfd3pDNU1jZF9QYklzZmZDUURhR3RBclA1OVU2OHJnUjR4S2d1V3ZYRmVULTktX1drMlE9PQ==",
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}
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