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0
2/10
Google researchers demonstrate a method to teach LLMs to perform Bayesian probabilistic reasoning by fine-tuning them on interactions with an optimal Bayesian model, enabling better handling of uncertainty and iterative belief updates in tasks like personalized recommendations.
llm-reasoning
bayesian-inference
probabilistic-modeling
fine-tuning
knowledge-distillation
ai-safety
machine-learning
Google Research
Sjoerd van Steenkiste
Tal Linzen