Row 19059

Row ID: 19059 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 19059 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I've been playing around with it and like it. There is some inconsistency with how different models will format responses. I've also noticed that often the sources will take you to an aggregation page with numerous stories, not the one you thought you were going to read, but that may be more of a Tavily issue.

Docker "just works" for me, nice job.

Getting "Model at capacity" errors frequently when running the local LLMs on an Nvidia 4090. Might need to wait a little longer?

Struggles with "only use articles published today" but I've seen similar issues with Perplexity, too.

FieldValue
text I've been playing around with it and like it. There is some inconsistency with how different models will format responses. I've also noticed that often the sources will take you to an aggregation page with numerous stories, not the one you thought you were going to read, but that may be more of a Tavily issue. Docker "just works" for me, nice job. Getting "Model at capacity" errors frequently when running the local LLMs on an Nvidia 4090. Might need to wait a little longer? Struggles with "on…
label r/openai
dataType comment
communityName r/OpenAI
datetime 2024-05-21
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Raw Record

{
  "text": "I've been playing around with it and like it. There is some inconsistency with how different models will format responses. I've also noticed that often the sources will take you to an aggregation page with numerous stories, not the one you thought you were going to read, but that may be more of a Tavily issue.\n\nDocker \"just works\" for me, nice job.\n\nGetting \"Model at capacity\" errors frequently when running the local LLMs on an Nvidia 4090. Might need to wait a little longer?\n\nStruggles with \"only use articles published today\" but I've seen similar issues with Perplexity, too.",
  "label": "r/openai",
  "dataType": "comment",
  "communityName": "r/OpenAI",
  "datetime": "2024-05-21",
  "username_encoded": "Z0FBQUFBQm5LakwtYkk4bHFabzFmOTJKVzdvdUJBcEp4dDVRa3ZLMXZEeXpkeVFBWV9NNlFfLWZSb0lhcTZBZ0gxRE5GVHJud3VJNTZ4b29NUXdUQzJFTDBjRVh5Q2tBVHc9PQ==",
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}
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