5 machine learning concepts. Under 30 seconds each.

Resource Link
Papers Links in References section
Video Five ML Concepts #21
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References

Concept Reference
Prompt Injection Prompt Injection attack against LLM-integrated Applications (Liu et al. 2023)
Jailbreaks Jailbroken: How Does LLM Safety Training Fail? (Wei et al. 2023)
GRU Empirical Evaluation of Gated Recurrent Neural Networks (Chung et al. 2014)
Planning vs Prediction Between accurate prediction and poor decision making (Zaffalon et al. 2023)
Production Rollbacks MLOps best practice (no canonical paper)

Today’s Five

1. Prompt Injection

Malicious instructions embedded in user input that override intended system behavior. An attacker crafts text that tricks an AI into ignoring its original instructions.

This is a major security concern for LLM-integrated applications.

Like slipping a forged instruction into a trusted document.

2. Jailbreaks

Techniques that attempt to bypass safety constraints in AI systems. These attacks exploit gaps between a model’s capabilities and its safety training.

Safety training can fail due to competing objectives or mismatched generalization.

Like convincing a guard to bend the rules.

3. GRU (Gated Recurrent Unit)

A recurrent neural network unit with gates that control memory flow. GRUs decide what information to keep and what to discard at each time step.

Simpler than LSTM but designed for similar sequence modeling tasks.

Like a notepad where you decide what to keep and what to erase.

4. Planning vs Prediction

Prediction forecasts likely outcomes. Planning evaluates actions across possible futures. Accurate predictions don’t guarantee good decisions—you also need to model how actions affect outcomes.

This is a key gap in many AI/ML systems.

Like knowing it will rain versus deciding whether to bring an umbrella.

5. Production Rollbacks

Reverting to a previous stable model version after deployment issues. When a new model causes problems in production, rolling back quickly minimizes impact.

Essential MLOps practice for maintaining system reliability.

Like reloading a saved game state when something breaks.

Quick Reference

Concept One-liner
Prompt Injection Malicious instructions overriding AI behavior
Jailbreaks Bypassing safety constraints
GRU Gated memory for sequence modeling
Planning vs Prediction Action evaluation vs forecasting
Production Rollbacks Reverting to stable model versions

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