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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Low-Precision Transformer Failure in Flash Attention 10/10/2025
Paris: Decentralized Open-Weight Diffusion Model 08/10/2025
DC-VideoGen: Efficient Video Generation with Deep Compression 08/10/2025
GNN101: Visual Learning of Graph Neural Networks 08/10/2025
Reactive Transformer: Stateful Real-Time Language Models 08/10/2025
Imperceptible Jailbreaking Against Large Language Models 08/10/2025
ACON: Optimizing Context Compression for LLM Agents 08/10/2025
CoDA: Collaborative Multi-Agent Data Visualization 08/10/2025
RECAP: Safety Alignment via Counter-Aligned Prefilling 08/10/2025
ONNX Ecosystem, Optimization, and Deployment 08/10/2025
Emergent Abilities of Large Language Models 08/10/2025
Implicit Dynamics of In-Context Learning 08/10/2025
Contextual Blocks: Implicit Weight Updates and Federated Learning 08/10/2025
MotionRAG: Retrieval-Augmented Image-to-Video Generation 08/10/2025
NIST Evaluation of DeepSeek AI Models 08/10/2025
Test-Time Reinforcement Learning for LLMs 08/10/2025
LongCodeZip: Compress Long Code Context for LLMs 08/10/2025
ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory 08/10/2025
Analog In-Memory Attention for Energy-Efficient LLMs 08/10/2025
Regression Language Models for Code Metrics 03/10/2025
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