applicable models
generative
Models that learn data distributions
12 techniques
| Goals | Models | Data Types | Description | |||
|---|---|---|---|---|---|---|
| Synthetic Data Generation | Algorithmic | Architecture/neural Networks/generative/gan Architecture/neural Networks/generative/vae +5 | Any | Synthetic data generation creates artificial datasets that aim to preserve the statistical properties, distributions,... | ||
| Prompt Sensitivity Analysis | Experimental | Architecture/neural Networks/transformer/llm Paradigm/generative +1 | Text | Prompt Sensitivity Analysis systematically evaluates how variations in input prompts affect large language model... | ||
| Causal Mediation Analysis in Language Models | Mechanistic Interpretability | Architecture/neural Networks/transformer Architecture/neural Networks/transformer/llm +3 | Text | Causal mediation analysis in language models is a mechanistic interpretability technique that systematically... | ||
| Fairness GAN | Algorithmic | Architecture/neural Networks/generative/gan Paradigm/generative +4 | Any | A data generation technique that employs Generative Adversarial Networks (GANs) to create fair synthetic datasets by... | ||
| Agent Goal Misalignment Testing | Testing | Architecture/model Agnostic Architecture/neural Networks/transformer/llm +3 | Any | Agent goal misalignment testing identifies scenarios where AI agents pursue objectives in unintended ways or develop... | ||
| Chain-of-Thought Faithfulness Evaluation | Testing | Architecture/neural Networks/transformer/llm Paradigm/generative +1 | Text | Chain-of-thought faithfulness evaluation assesses the quality and faithfulness of step-by-step reasoning produced by... | ||
| Few-Shot Fairness Evaluation | Testing | Architecture/neural Networks/transformer/llm Paradigm/generative +1 | Text | Few-shot fairness evaluation assesses whether in-context learning with few-shot examples introduces or amplifies biases... | ||
| Hallucination Detection | Testing | Architecture/neural Networks/transformer Architecture/neural Networks/transformer/llm +2 | Text | Hallucination detection identifies when generative models produce factually incorrect, fabricated, or ungrounded... | ||
| Prompt Injection Testing | Testing | Architecture/neural Networks/transformer/llm Paradigm/generative +1 | Text | Prompt injection testing systematically evaluates LLMs and generative AI systems for vulnerabilities where malicious... | ||
| Retrieval-Augmented Generation Evaluation | Testing | Architecture/neural Networks/transformer/llm Paradigm/generative +1 | Text | RAG evaluation assesses systems combining retrieval and generation by measuring retrieval quality, generation... | ||
| AI Agent Safety Testing | Testing | Architecture/neural Networks/transformer/llm Paradigm/generative +1 | Any | AI agent safety testing evaluates autonomous AI agents that interact with external tools, APIs, and systems to ensure... | ||
| Toxicity and Bias Detection | Testing | Architecture/model Agnostic Architecture/neural Networks/transformer/llm +2 | Text | Toxicity and bias detection uses automated classifiers and human review to identify harmful, offensive, or biased... |
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