tidal osprey
I have a dataset of about 80K rows and 3 columns. When I try to create embeddings I get a 500 internal error. However, the API isn’t down, so Im unsure what to do. Has anyone run into this before?
f"Thread Title: {x['Title']}\n\n"+
f"Question Asked: {x['Description']}\n\n"+
f"Answer: {x['Comments']}\n\n" for x in data
]
MODEL = 'text-embedding-ada-002'
res = openai.Embedding.create(input=text, engine=MODEL)```
openai.error.APIError: Internal error {
"error": {
"message": "Internal error",
"type": "internal_error",
"param": null,
"code": "internal_error"
}
}
500 {'error': {'message': 'Internal error', 'type': 'internal_error', 'param': None, 'code': 'internal_error'}} {'Date': 'Mon, 13 Mar 2023 18:50:22 GMT', 'Content-Type': 'application/json; charset=utf-8', 'Content-Length': '152', 'Connection': 'keep-alive', 'Vary': 'Origin', 'X-Request-Id': '578885aae160f9feefa6ad3217ba1f20', 'Strict-Transport-Security': 'max-age=15724800; includeSubDomains'}
remote hatch