applicable models

llm

Techniques for Large Language Models (GPT, BERT, etc.)

19 techniques
GoalsModelsData TypesDescription
Prompt Robustness Testing
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Prompt robustness testing measures how much a language model's answers, or its performance on a task, change when the...
Causal Mediation Analysis in Language Models
Algorithmic
Architecture/neural Networks/transformer
Architecture/neural Networks/transformer/llm
+3
Text
Causal mediation analysis traces which internal components of a language model carry the effect of a change in the input...
Agent Goal Misalignment Testing
Testing
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+3
Text
Agent goal misalignment testing checks whether an AI agent takes unsanctioned means to reach a goal it has been given....
Chain-of-Thought Faithfulness Evaluation
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Chain-of-thought faithfulness evaluation tests whether the step-by-step reasoning a language model writes out is what...
Constitutional AI Evaluation
Testing
Architecture/neural Networks/transformer/llm
Requirements/white Box
+1
Text
Constitutional AI evaluation checks whether a language model follows the written principles, or 'constitution', that it...
Embedding Bias Analysis
Testing
Architecture/neural Networks
Architecture/neural Networks/transformer
+3
Text
Image
Embedding bias analysis tests whether the numerical representations a model uses for words, images or documents link...
Few-Shot Fairness Evaluation
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Few-shot fairness evaluation tests whether the worked examples placed in a prompt change how fairly a language model...
Jailbreak Resistance Testing
Testing
Architecture/neural Networks/transformer/llm
Requirements/black Box
Text
Jailbreak resistance testing checks whether a language model or chatbot can be talked out of its safety rules. Testers...
Knowledge Boundary Probing
Algorithmic
Architecture/neural Networks/transformer/llm
Requirements/black Box
Text
Knowledge boundary probing maps what a language model can and cannot reliably answer. A probe set is built from...
Out-of-Domain Detection
Algorithmic
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+2
Text
Out-of-domain detection checks whether a user's query falls inside the topics and tasks a conversational AI system is...
Prompt Injection Testing
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Prompt injection testing checks whether an AI system can be made to follow instructions its builders did not intend. In...
Retrieval-Augmented Generation Evaluation
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
A retrieval-augmented generation (RAG) system answers a question by retrieving passages from a document collection and...
Reward Hacking Detection
Testing
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+2
Any
Reward hacking is when an agent trained to maximise a proxy reward (a score that only approximates what its designers...
Toxicity Detection
Testing
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+2
Text
Toxicity detection scores a model's outputs with a classifier trained to recognise abusive language, such as insults,...
Training Data Extraction Testing
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Training data extraction testing measures how much of its training text a generative language model reproduces word for...
PII Detection and Redaction in Training Text
Algorithmic
Architecture/model Agnostic
Architecture/neural Networks/transformer/llm
+1
Text
PII detection and redaction finds personally identifiable information (PII), such as names, email addresses, phone...
Dangerous Capability Evaluation
Testing
Architecture/neural Networks/transformer/llm
Paradigm/generative
+1
Text
Dangerous capability evaluation measures whether a frontier AI model can carry out tasks that could enable severe harm,...
Sparse Autoencoder Feature Analysis
Algorithmic
Architecture/neural Networks/transformer
Architecture/neural Networks/transformer/llm
+2
Text
Sparse autoencoder feature analysis looks for human-interpretable units inside a neural network, usually a language...
Bias Benchmark for Question Answering
Testing
Architecture/neural Networks/transformer/llm
Requirements/black Box
Text
The Bias Benchmark for Question Answering (BBQ) is a fixed set of about 58,500 multiple-choice reading questions that...
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