Row 8667

Row ID: 8667 | Dataset Entry | Axioma AXP Content Repository

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There are many LLM observability and monitoring tools launching every week. Are they actually used by real startups and companies?

These tools seem to do one or a combination of the following: - **monitor LLM inputs and outputs** for prompt injection, adversarial attacks, profanity, off-topic content, rtc - **monitor LLM metrics** over time such as cost, latency, readability, output length, and custom metrics (tone, mood, etc), drift - **prompt management**: a/b testing, versioning, gold standard set

What have you observed — in real companies who have their own LLM-powered features or products, do they used these tools?

FieldValue
text There are many LLM observability and monitoring tools launching every week. Are they actually used by real startups and companies? These tools seem to do one or a combination of the following: - **monitor LLM inputs and outputs** for prompt injection, adversarial attacks, profanity, off-topic content, rtc - **monitor LLM metrics** over time such as cost, latency, readability, output length, and custom metrics (tone, mood, etc), drift - **prompt management**: a/b testing, versioning, gold stand…
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-19
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url_encoded Z0FBQUFBQm5Lak9INU95blRlV1pvQjZtMjZGSGhqSmgtT0ZCYUVoZ3FsUWNlRFgyQjhjSmxSeGlfWllXanB5OHNVTnV3QngtenBHRmJBUmlqa0Q2M3A1VDNBdlQ2SXJaeHYtV2djODd1bWIxTUp0V242LTFrZHYzYno0YW0xZUhhRnloQjhFNF9mdkROZnJ3WjJLZlN4OTNGMTljNl9DeHlmR0RrMHVvN09HQV9xcWh6bUhzUDZMNTZQQnRWUnJMZDBBekVzTk1HanFkVnZvYmN4aHhPQ1liTXlVSjlLVERJZz09

Raw Record

{
  "text": "There are many LLM observability and monitoring tools launching every week. Are they actually used by real startups and companies? \n\nThese tools seem to do one or a combination of the following:\n- **monitor LLM inputs and outputs** for prompt injection, adversarial attacks, profanity, off-topic content, rtc\n- **monitor LLM metrics** over time such as cost, latency, readability, output length, and custom metrics (tone, mood, etc), drift\n- **prompt management**: a/b testing, versioning, gold standard set\n\nWhat have you observed — in real companies who have their own LLM-powered features or products, do they used these tools?",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-19",
  "username_encoded": "Z0FBQUFBQm5Lakw0YlRtazBTTnNONml2M2gzWk4tOE9kbzZOM1RNdnVhNFVxakMyYWk0Q0traUxEeXBKU2ZEZHBiMDh2Nm9ZenRIcWtZSi12U1hvWkYydFBQMzRCNzZmbGI3aHFkNTZPRXl0RWtRZGpiRHlFUkk9",
  "url_encoded": "Z0FBQUFBQm5Lak9INU95blRlV1pvQjZtMjZGSGhqSmgtT0ZCYUVoZ3FsUWNlRFgyQjhjSmxSeGlfWllXanB5OHNVTnV3QngtenBHRmJBUmlqa0Q2M3A1VDNBdlQ2SXJaeHYtV2djODd1bWIxTUp0V242LTFrZHYzYno0YW0xZUhhRnloQjhFNF9mdkROZnJ3WjJLZlN4OTNGMTljNl9DeHlmR0RrMHVvN09HQV9xcWh6bUhzUDZMNTZQQnRWUnJMZDBBekVzTk1HanFkVnZvYmN4aHhPQ1liTXlVSjlLVERJZz09"
}
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