[GRPO Explained] DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters (Paper Explained)

GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Were RNNs All We Needed? (Paper Explained)

xLSTM: Extended Long Short-Term Memory

Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

ORPO: Monolithic Preference Optimization without Reference Model (Paper Explained)

Mamba: Linear-Time Sequence Modeling with Selective State Spaces (Paper Explained)

All about AI Accelerators: GPU, TPU, Dataflow, Near-Memory, Optical, Neuromorphic & more (w/ Author)

ai #gpu #tpu This video is an interview with Adi Fuchs, author of a series called "AI Accelerators", and an expert in modern AI ...