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咖啡郎
10日
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詞膠跣
10日
要睇過一千次先識計
Large Language Models (LLMs) can do math not by "understanding" numbers in the traditional sense, but through a combination of pattern recognition, step-by-step reasoning, and external tools.The ability breaks down into three key mechanics
attern Recognition: LLMs have read vast amounts of math-related text, textbooks, and code during training. They recognize that certain inputs are often followed by certain outputs (e.g., they know "2 + 2" usually goes with "4" simply because they’ve seen it thousands of times).Chain-of-Thought Reasoning: Instead of guessing the final answer directly, LLMs are trained to "show their work". By breaking complex math into a sequence of smaller steps, the model predicts one token at a time, mimicking how a human does long division or algebra on paper.Tool Integration: Modern LLMs act as controllers. When asked to perform a complex calculation (like \(x^2 - 3x + 2 = 0\)), many models will write background programming code (such as Python) and use a calculator/tool to get the exact answer, rather than guessing
Large Language Models (LLMs) can do math not by "understanding" numbers in the traditional sense, but through a combination of pattern recognition, step-by-step reasoning, and external tools.The ability breaks down into three key mechanics
attern Recognition: LLMs have read vast amounts of math-related text, textbooks, and code during training. They recognize that certain inputs are often followed by certain outputs (e.g., they know "2 + 2" usually goes with "4" simply because they’ve seen it thousands of times).Chain-of-Thought Reasoning: Instead of guessing the final answer directly, LLMs are trained to "show their work". By breaking complex math into a sequence of smaller steps, the model predicts one token at a time, mimicking how a human does long division or algebra on paper.Tool Integration: Modern LLMs act as controllers. When asked to perform a complex calculation (like \(x^2 - 3x + 2 = 0\)), many models will write background programming code (such as Python) and use a calculator/tool to get the exact answer, rather than guessing
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戴笠
8日
https://www.ithome.com.tw/news/176087
Google上周發表最新版AI模型系列Gemini 3.5，主打開發代理人。不過開發人員卻自曝慘遭Gemini 3.5刪除將近3萬行程式碼、新增錯誤配置及擅自修改設定，導致營運系統斷線超過半小時。而且Gemini還虛構復原網站的記錄。
Google上周發表最新版AI模型系列Gemini 3.5，主打開發代理人。不過開發人員卻自曝慘遭Gemini 3.5刪除將近3萬行程式碼、新增錯誤配置及擅自修改設定，導致營運系統斷線超過半小時。而且Gemini還虛構復原網站的記錄。
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