Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Machine Learning
Active Learning
A machine learning paradigm where the model can query a user to obtain labels for new data points actively.
Machine Learning
adversarial-training
A method of training models to be robust against adversarial examples.
Data
alignment
alignment is a core generative-AI concept used across modeling, product, and governance discussions.
Data
arena
arena is a core generative-AI concept used across modeling, product, and governance discussions.
Data
assistant message
assistant message is a core generative-AI concept used across modeling, product, and governance discussions.
Data Augmentation
augment-data
A technique to artificially increase the size of a training dataset by creating modified copies of existing data.
Data Preparation
Augmented Data
Synthetic data created to enhance the diversity and quantity of training datasets.
Training Techniques
Backpropagation
An algorithm used for training neural networks by calculating gradients of the loss function.
Deep Learning
Batch Normalization
A technique to improve training speed and stability in deep neural networks by normalizing the inputs of each layer.
Machine Learning
batch-learning
A learning method where the model is trained on a fixed dataset in one go.
Machine Learning
batch-training
A method of training machine learning models using a subset of the dataset in each iteration.
Statistics
Bayesian Inference
A statistical method using Bayes' theorem to update the probability of a hypothesis as more evidence becomes available.
Inference
beam search
beam search is a core generative-AI concept used across modeling, product, and governance discussions.
Data
benchmark
benchmark is a core generative-AI concept used across modeling, product, and governance discussions.
AI Ethics
Bias Audit
A systematic examination of AI models to identify and mitigate biases.
AI Ethics
Bias Mitigation
Techniques and strategies aimed at reducing bias in AI models and datasets.
Distributed Systems
Blockchain
A decentralized digital ledger technology that securely records transactions across multiple computers.
Blockchain
blockchain-interoperability
The ability of different blockchain networks to communicate and share data with each other.
Inference
chain-of-thought
chain-of-thought is a core generative-AI concept used across modeling, product, and governance discussions.
Training
citation
citation is a core generative-AI concept used across modeling, product, and governance discussions.
Product
classifier-free guidance
classifier-free guidance is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
CLIP
CLIP is a core generative-AI concept used across modeling, product, and governance discussions.
Training
content policy
content policy is a core generative-AI concept used across modeling, product, and governance discussions.
Data
context window
context window is a core generative-AI concept used across modeling, product, and governance discussions.