What makes AI different from regular code?
It finds patterns humans would never see - extracting rules FROM data instead of applying rules TO data.
This fundamental shift is why AI feels like "magic" sometimes.
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The SELECT clause in SQL isn't just for columns!
You can use it for expressions like SELECT 'Hello World' or SELECT Now() too.
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The AI revolution in one simple example:
Traditional spam detection: "Here are 100 rules to identify spam"
AI approach: "Here are 100,000 examples - now YOU find the patterns"
This paradigm shift is why AI is so powerful.
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Your AI results are only as good as your prompts.
Prompt engineering is becoming a critical skill—especially when integrating LLMs into Java applications.
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Did you know AI models "read" text just like humans do?
Some process letter-by-letter, others recognize word shapes - but they all need consistency.
A fascinating insight into how tokenizers create the foundation for all language models.
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Hide sensitive columns easily: create a VIEW without those columns and give access to the view, not the table. Simple, effective privacy for any SQL database.
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Mixing build & run stages? 🚫 Big mistake! Separate them with a release stage for scalable, reliable cloud-native apps. 🌐 Master the Twelve Factor App: javabrains.io/courses/master…#CloudNative#DevOps
AI is hard to define:
“Tasks needing human intelligence—until machines do them!” 🤦♂️
The definition keeps shifting.
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