MetaStackD A robust meta learning based deep ensemble model for prediction of sensors battery life in IoE environment https://www.byteseu.com/967002/ #BatteryLife #ComputationalBiologyAndBioinformatics #EnsembleModel #environment #EnvironmentalSciences #HumanitiesAndSocialSciences #InternetOfEverything #MarineLife #MetaLearning #multidisciplinary #RegressionModel #Science #SensorLife

The real lock-in risk with LLMs isn't just about data, but about learned interaction patterns. Each model builds a unique understanding of how you work, think, and communicate. When using multi-LLM routers, we're essentially distributing this meta-knowledge across models. The challenge? Making this learned context portable and consistent.

Think of it as teaching multiple assistants your preferences simultaneously vs. deep-learning with just one."

Latest Learnlet: Taking a higher perspective

https://blog.learnlets.com/2024/11/taking-a-higher-perspective/

Google DeepMind Meta-Lernen: Der Turbo für schlaue Maschinen

#KuenstlicheIntelligenz #MetaLearning #SolomonoffInduction #DeepMind #UniversalPredictors #DeepLearning #MachineLearning #DataScience #AIResearch #artificialintelligence

https://kinews24.de/google-deepmind-meta-lernen/

Very interesting work by Confavreux and colleagues on #MetaLearning families of #plasticity rules in #RecurrentSpikingNetworks using simulation-based inference

https://openreview.net/forum?id=FLFasCFJNo

Rethinking the #hippocampal #cognitivemap as a #metalearning computational module – New publication by Luca Ambrogioni &
H. Freyja Ólafsdóttir (2023)

https://doi.org/10.1016/j.tics.2023.05.011