{"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. 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