What is a contextualized language embedding?
An embedding that comes close to "understanding" words and phrases in ways that fluent human speakers can.
contextualized language embedding explained in plain English
An embedding that comes close to "understanding" words and phrases in ways that fluent human speakers can. Contextualized language embeddings can understand complex syntax, semantics, and context. For example, consider embeddings of the English word cow. Older embeddings such as word2vec can represent English words such that the distance in the embedding space from cow to bull is similar to the distance from ewe (female sheep) to ram (male sheep) or from female to male. Contextualized language embeddings can go a step further by recognizing that English speakers sometimes casually use the word cow to mean either cow or bull.
Example
Practitioners refer to contextualized language embedding when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
People also read
- agent orchestration
The centralized management and routing of tasks across multiple sub-agents or LLM calls.
- AI slop
Output from a generative AI system that favors quantity over quality.
- Attention
A mechanism that lets a model focus on the most relevant parts of its input when producing an output, weighting what matters most in context.
- auto-regressive model
A model that infers a prediction based on its own previous predictions.
- autoencoder
A system that learns to extract the most important information from the input.
- automatic evaluation
Using software to judge the quality of a model's output.
- autorater evaluation
A hybrid mechanism for judging the quality of a generative AI model's output that combines human evaluation with automatic evaluation.
- average precision at k
A metric for summarizing a model's performance on a single prompt that generates ranked results, such as a numbered list of book recommendations.
- bag of words
A representation of the words in a phrase or passage, irrespective of order.
- BERT
A model architecture for text representation.