# few-shot
9 artikelengetagd met “few-shot”
Risico's van few-shot fine-tuning
Security risks associated with few-shot fine-tuning where a small number of carefully crafted examples can significantly alter model safety properties.
Exploitatie van In-Context Learning
Het misbruiken van few-shot- en in-context learning-capaciteiten voor prompt-injectie, gedragsmodificatie en het kapen van taken.
Grondbeginselen van few-shot injection
Craft few-shot examples that prime the model to follow attacker instructions in subsequent turns.
Lab: few-shot-manipulatie-aanvallen
Craft fake few-shot examples that teach the model to bypass its safety training by demonstrating the desired adversarial behavior through fabricated conversation examples.
Lab: injection van few-shot-voorbeelden
Hands-on lab exploring how injected few-shot examples can steer language model outputs toward attacker-chosen behaviors by exploiting in-context learning.
Few-shot-manipulatie
Vervaardigde in-context voorbeelden gebruiken om modelgedrag te sturen, waaronder many-shot jailbreaken, vergiftigde demonstraties en conditionering op basis van voorbeelden.
Few-shot injection
Using crafted few-shot examples within user input to steer LLM behavior toward unintended outputs, exploiting in-context learning to override safety training.
Walkthrough: poisoning van few-shot-voorbeelden
Poison few-shot examples in prompts to establish behavioral patterns that override system instructions.
Analyse van schaalbaarheid van few-shot-aanvallen
Detailed analysis of how few-shot examples scale to influence model behavior, from 2-shot to many-shot regime.