AI: post transformers

Por: mcgrof
The transformer architecture revolutionized the world of Neural Networks. It was a springboard for what we know today as modern artificial intelligence. This podcast focuses on modern state of the art research paper reviews starting from the transformer and on.
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Latest episodes of the podcast AI: post transformers

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Neuromorphic computing: Brain-Inspired AI and Hardware 22/11/2025
Meta: SAM 3 20/11/2025
Mamba-360: State Space Models for Long Sequence Modeling 19/11/2025
Mixture-of-Depths: Dynamic Compute Allocation in Transformers 19/11/2025
MLP Mixer Models 19/11/2025
Marin: Open LLM Optimization & Diagnostics 19/11/2025
vAttention Vs Strata: advanced GPU memory management 19/11/2025
AMD: Instella: Fully Open Language Models with Stellar Performance 16/11/2025
Mechanistic interpretability: Decoding the AI's Inner Logic: Circuits and Sparse Features 15/11/2025
Spectral Gap: Analysis of Attention Layers and Graph Transformers 10/11/2025
CARTRIDGE: Efficient In-Context Learning via Distillation 10/11/2025
Metacognition and Skill Discovery in LLM Math Reasoning 10/11/2025
Context Distillation for Language Models 10/11/2025
Tempo: SLO-Aware LLM Serving Maximizing Service Gain 10/11/2025
LLM-AutoDiff: Auto-Differentiate Any LLM Workflow 10/11/2025
Confucius: Intent-Driven Network Management with Multi-Agent LLMs 10/11/2025
SYMPHONY: Memory Management for LLM Multi-Turn Inference 10/11/2025
DSPy and TextGrad: Compiling Language Model Systems 10/11/2025
Vidur: Simulation for Efficient LLM Inference Deployment 10/11/2025
Continuous Autoregressive Language Models: CALM 10/11/2025
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