Machine Learning Glossary/Language Evaluation

Verfasst von / Written by Sebastian F. Genter

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• Machine Learning Glossary

This page functions as an index and presents a systematic listing of the entries found in the main glossary or on the main page.

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A

• attention
• autoencoder
• automatic evaluation
• autorater evaluation
• auto-regressive model
• average precision at k

B

• bag of words
• BERT (Bidirectional Encoder Representations from Transformers)
• bidirectional
• bidirectional language model
• bigram
• BLEU (Bilingual Evaluation Understudy)
• BLEURT (Bilingual Evaluation Understudy from Transformers)

C

• causal language model
• chain-of-thought prompting
• chat
• confabulation
• constituency parsing
• contextualized language embedding
• context window
• crash blossom

D

• decoder
• denoising
• direct prompting

E

• edit distance
• embedding layer
• embedding space
• embedding vector
• encoder
• evals
• evaluation

F

• few-shot prompting
• Fiddle
• fine-tuning
• Flax
• Flaxformer

G

• Gemini
• Gemini models
• generated text
• generative AI
• golden response
• GPT (Generative Pre-trained Transformer)

H

• hallucination
• human evaluation

I

• in-context learning

L

• LaMDA (Language Model for Dialogue Applications)
• language model
• large language model
• latent space
• Levenshtein Distance
• LLM
• LLM evaluations (evals)
• LoRA
• Low-Rank Adaptability (LoRA)

M

• masked language model
• mean average precision at k (mAP@k)
• meta-learning
• mixture of experts
• MMIT
• modality
• model parallelism
• MOE
• multi-head self-attention
• multimodal instruction-tuned
• multimodal model

N

• natural language processing