Why Large Language Models Mistake 9.11 > 9.9: Prompting, Tokenizer Effects, and Recent Findings

The article examines why leading large language models such as GPT‑4o, Gemini Advanced, and Claude 3.5 incorrectly claim that 9.11 is larger than 9.9, analyzes tokenization and prompting strategies that cause the error, and discusses recent research and OpenAI model updates.

AI reasoningNumerical ComparisonPrompt engineering

0 likes · 7 min read

Why Large Language Models Mistake 9.11 > 9.9: Prompting, Tokenizer Effects, and Recent Findings

IT Services Circle

Dec 23, 2023 · Fundamentals

Understanding Floating‑Point Precision Issues in Python and How to Handle Them

The article explains why Python’s 0.1 + 0.2 does not equal 0.3 due to binary representation limits, discusses the impact of tiny rounding errors on equality checks, and recommends using tolerance thresholds or the Decimal module (initialized with strings) for accurate numeric computations, especially in finance.

DecimalNumerical ComparisonPython

0 likes · 3 min read

Understanding Floating‑Point Precision Issues in Python and How to Handle Them