Neptune Blog
Learn from AI/ML engineers, researchers, and folks building foundation models: best practices, tool reviews, and real-world examples.
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SabiYarn: Advancing Low-Resource Languages With Multitask NLP Pre-Training [Paper Reflections]
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning [Paper Reflection]
Bayesian Deep Learning is Needed in the Age of Large-Scale AI [Paper Reflection]
Open LLMs are Necessary For Current Private Adaptations and Outperform Their Closed Alternatives [Paper Reflection]
Understanding LLMs Requires More Than Statistical Generalization [Paper Reflection]
Learn From Failure: Fine-Tuning LLMs With Trial-and-Error Data For Intuitionistic Propositional Logic Proving [Paper Reflection]
