MediaWiki API result
This is the HTML representation of the JSON format. HTML is good for debugging, but is unsuitable for application use.
Specify the format parameter to change the output format. To see the non-HTML representation of the JSON format, set format=json.
See the complete documentation, or the API help for more information.
{
"batchcomplete": "",
"query": {
"logevents": [
{
"logid": 10,
"ns": 8,
"title": "MediaWiki:Sidebar",
"pageid": 8,
"logpage": 8,
"revid": 23,
"params": {},
"type": "create",
"action": "create",
"user": "Whale",
"timestamp": "2025-12-15T12:07:15Z",
"comment": "Created page with \" * navigation ** mainpage|mainpage-description ** AI_Talk|AI Talk Meetup ** recentchanges-url|recentchanges ** randompage-url|randompage ** helppage|Help page ** specialpages-url|specialpages * SEARCH * TOOLBOX * LANGUAGES\""
},
{
"logid": 9,
"ns": 0,
"title": "AI Talk",
"pageid": 7,
"logpage": 7,
"revid": 22,
"params": {},
"type": "create",
"action": "create",
"user": "Whale",
"timestamp": "2025-12-15T12:00:37Z",
"comment": "Created page with \"== Seoul, the Republic of Korea == [[2025-12-06 Sat]] - 12:50 PM AB Cafe at the Gangnam Station [[2025-12-06 Sat]] - 12:50 PM AB Cafe at the Gangnam Station [[2026-01-10 Sat]] - 12:50 PM AB Cafe at the Gangnam Station [[2026-01-17 Sat]] - 12:50 PM AB Cafe at the Gangnam Station [[2026-01-24 Sat]] - 12:50 PM AB Cafe at the Gangnam Station == Another City ==\""
},
{
"logid": 8,
"ns": 0,
"title": "LLM",
"pageid": 0,
"logpage": 2,
"params": {},
"type": "delete",
"action": "delete",
"user": "Whale",
"timestamp": "2025-12-15T07:15:24Z",
"comment": "content was: \"A '''large language model''' ('''LLM''') is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pre-trained transformers (GPTs) and provide the core capabilities of modern chatbots. LLMs can be fine-tuned for specific t...\", and the only contributor was \"[[Special:Contributions/Whale|Whale]]\" ([[User talk:Whale|talk]])"
},
{
"logid": 7,
"ns": 0,
"title": "Large Language Models",
"pageid": 6,
"logpage": 6,
"revid": 18,
"params": {},
"type": "create",
"action": "create",
"user": "Whale",
"timestamp": "2025-12-15T07:12:36Z",
"comment": "Created page with \"A '''large language model''' ('''LLM''') is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pre-trained transformers (GPTs) and provide the core capabilities of modern chatbots. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding synt...\""
},
{
"logid": 6,
"ns": 0,
"title": "Alignment (AI)",
"pageid": 5,
"logpage": 5,
"revid": 14,
"params": {},
"type": "create",
"action": "create",
"user": "Whale",
"timestamp": "2025-12-15T07:01:45Z",
"comment": "Created page with \"<nowiki>'''</nowiki>AI Alignment<nowiki>'''</nowiki> refers to the process of directing <nowiki>[[Artificial Intelligence]]</nowiki> (AI) systems, particularly <nowiki>[[Large Language Models]]</nowiki> (LLMs), to act in accordance with human intent and ethical values. While the core objective of a pre-trained model is simply to predict the next token in a sequence based on statistical patterns, the goal of alignment is to ensure the resulting behavior is helpful, honest...\""
},
{
"logid": 5,
"ns": 0,
"title": "Instruction Tuning",
"pageid": 4,
"logpage": 4,
"revid": 12,
"params": {},
"type": "create",
"action": "create",
"user": "Whale",
"timestamp": "2025-12-15T06:53:54Z",
"comment": "Created page with \"'''Instruction tuning''' is a technique used in the training of Large Language Models ([[LLM]]s) to improve their ability to follow natural language instructions. While [[Pre-training|pre-training]] enables a model to predict the next token in a sequence based on vast amounts of text data, it does not inherently teach the model to act as a helpful assistant or adhere to specific user commands. Instruction tuning bridges this gap by [[Fine-tuning|fine-tuning]] the pre-tra...\""
},
{
"logid": 4,
"ns": 0,
"title": "Pre-training",
"pageid": 3,
"logpage": 3,
"revid": 6,
"params": {},
"type": "create",
"action": "create",
"user": "Whale",
"timestamp": "2025-12-14T10:10:39Z",
"comment": "Created page with \"Pretraining in AI is the initial phase of training a model on a large dataset to learn general patterns before fine-tuning it for specific tasks. === What is Pretraining? === Pretraining refers to the process of training a machine learning model on a large, diverse dataset before it is fine-tuned for a specific task. This phase is crucial as it equips the model with foundational knowledge, allowing it to learn general features and patterns that can be applied across var...\""
},
{
"logid": 3,
"ns": 0,
"title": "LLM",
"pageid": 0,
"logpage": 2,
"revid": 4,
"params": {},
"type": "create",
"action": "create",
"user": "Whale",
"timestamp": "2025-12-14T09:54:39Z",
"comment": "Created page with \"A '''large language model''' ('''LLM''') is a language model trained with self-supervised machine learning on a vast amount of text, designed for natural language processing tasks, especially language generation. The largest and most capable LLMs are generative pre-trained transformers (GPTs) and provide the core capabilities of modern chatbots. LLMs can be fine-tuned for specific tasks or guided by prompt engineering. These models acquire predictive power regarding synt...\""
},
{
"logid": 2,
"ns": 2,
"title": "User:MediaWiki default",
"pageid": 0,
"logpage": 0,
"params": {
"duration": "infinity",
"flags": [
"nocreate"
],
"blockId": 1,
"sitewide": "",
"duration-l10n": "infinite"
},
"type": "block",
"action": "block",
"user": "Whale",
"timestamp": "2025-12-14T09:50:02Z",
"comment": ""
},
{
"logid": 1,
"ns": 0,
"title": "Main Page",
"pageid": 1,
"logpage": 1,
"revid": 1,
"params": {},
"type": "create",
"action": "create",
"user": "MediaWiki default",
"timestamp": "2025-12-14T08:42:24Z",
"comment": ""
}
]
}
}