Day 12 - Why Knowledge Cut-Off Dates Matter in AI Models

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Context:

Today, I explored the concept of knowledge cut-off dates in popular AI models. These dates define what each model “knows” and what it doesn’t. Beyond these dates, the model may not be aware of the latest products, features, or events.

What I Learned:

  • GPT-4 – April 2023
  • GPT-4o – October 2023
  • GPT-5 – October 2024
  • DeepSeek-V3 – July 2024
  • Qwen2.5 – End of 2023
  • QwQ-32B – November 28, 2024
  • Grok 4 – July 2025
  • Claude 4.1 – March 2025
  • Gemini 2.5 Pro – January 2025

Why It Matters for QA / AI Testing:

  • Knowing the cut-off helps testers ask the right questions.
  • If fresh product info is needed, combine LLMs with live data sources like RAG, APIs, or search integration.
  • Avoid relying solely on static knowledge for dynamic testing scenarios.

My Takeaway:

Knowledge cut-off dates are critical for planning AI-assisted testing strategies — always pair LLMs with real-time data for accuracy.



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