Row 16007
Content Data
This page contains data entry 16007 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.
LLMs are a text prediction algorithm. It uses the attention mechanism, which means prior text sequences are weighted and considered to produce a probability distribution, where a token is sampled from.
When you have an argument with a LLM, and the 'AI assistant' refuses to comply with a task, then it predicts that the AI assistant would continue to refuse to company. Wow, shocker! Because it would predict that online arguments tend to persist!
Contemporary LLMs are statistical models that are trained to predict what a theoretical AI assistant would respond. That's it
| Field | Value |
|---|---|
| text | LLMs are a text prediction algorithm. It uses the attention mechanism, which means prior text sequences are weighted and considered to produce a probability distribution, where a token is sampled from. When you have an argument with a LLM, and the 'AI assistant' refuses to comply with a task, then it predicts that the AI assistant would continue to refuse to company. Wow, shocker! Because it would predict that online arguments tend to persist! Contemporary LLMs are statistical models that are … |
| label | r/chatgpt |
| dataType | comment |
| communityName | r/ChatGPT |
| datetime | 2024-05-20 |
| username_encoded | Z0FBQUFBQm5Lakw5VHpDNEcxaDZwaTJfUXVKQWJTV3dwaDN5M1FwS0YwdF9waUVoSVd3ZnB2aGxQRDIxdVlqUXpQS1hHT01JWndVY2lHNXFmUmZURVRKT0Vpem4tS2VFT2NBanA4ZExhSjhWZzRsZUtiTnZUSk09 |
| url_encoded | Z0FBQUFBQm5Lak9NQkxMVnlYaWZoZjAzOGY4TE56ZDllX0xXSGU2bV81cTVObzMtdlRFdjAtSFc2Y2wzLVBadENNbGhybW1ZX296NE9uQ1BHaVhqLWRpSlUtb24tNGlJbWNqOG1BMm5UT2lkUzJZaENrRDh5NV9NS0lNYy1qNHJrLTFDRmhaanVFVjJmSWFxcnVYOVVuNVFUNGRUdWNiYl9wcDloVk9NMjUwcURyNkg2MmtsclZfSkh5RDhMTTdRbHl0ejNpLVUwRGlRVkFoUjd1dXBCcC1TTDFEcGV1U1dPdz09 |
Raw Record
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"text": "LLMs are a text prediction algorithm. It uses the attention mechanism, which means prior text sequences are weighted and considered to produce a probability distribution, where a token is sampled from.\n\nWhen you have an argument with a LLM, and the 'AI assistant' refuses to comply with a task, then it predicts that the AI assistant would continue to refuse to company. Wow, shocker! Because it would predict that online arguments tend to persist!\n\nContemporary LLMs are statistical models that are trained to predict what a theoretical AI assistant would respond. That's it",
"label": "r/chatgpt",
"dataType": "comment",
"communityName": "r/ChatGPT",
"datetime": "2024-05-20",
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}
Entry Information
- Entry ID: 16007
- Repository: Axioma AXP
- Dataset: arrmlet/reddit_dataset_36
- Total Entries: 100,000