Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.
Bradley C. A. BrownJordan JuravskyRyan Saul EhrlichRonald ClarkQuoc V. LeChristopher RéAzalia MirhoseiniPublished in: CoRR (2024)
Keyphrases
- gibbs sampler
- programming language
- markov chain monte carlo
- language learning
- probabilistic inference
- natural language
- random sampling
- inference mechanism
- parameter estimation
- monte carlo
- bayesian networks
- inference process
- neural network
- database
- inference engine
- machine learning
- sampling algorithm
- specification language