Apr 7 · 10 min read · You train a churn model. It shows 91% AUC on your held-out test set. You deploy it. It performs no better than a naive baseline. You've just been bitten by data leakage — and the root cause is almost always the same: your training features were compu...
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Apr 5 · 4 min read · Understanding the Risks of Prompt Injection in LLMs: A Practical Approach to Security Context and Problem The integration of Large Language Models (LLMs) into enterprise applications has become a common practice, driving innovation and boosting produ...
Join discussionMar 26 · 3 min read · Introduction In the growing landscape of AI, deploying large language models (LLMs) in production has become commonplace. However, while these models offer unprecedented capabilities, they also introduce new security concerns that must be addressed i...
Join discussionSep 12, 2024 · 6 min read · Imagine a student named Bauer who took an Algebra class with his classmates. Bauer paid attention during the lessons but may not completely understand the underlying principle of Algebra. Two weeks later, the teacher gave the class a test. Fortunatel...
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