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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Small Versus Large Models for Requirements Classification 31/10/2025
Hyper-Scaling LLM Inference with KV Cache Compression 31/10/2025
Architectural Scaling Laws for Efficient LLMs 31/10/2025
ATTENTION2D and lean attention: Distributed Self-Attention 29/10/2025
Sentence-BERT: Siamese Networks for Sentence Embeddings 29/10/2025
TxGNN: Foundation Model for Zero-Shot Drug Repurposing 29/10/2025
STAR: Sub-Entry Sharing TLB for Multi-Instance GPU Efficiency 26/10/2025
Strata: Efficient Hierarchical Context Caching for LLM Serving 26/10/2025
FlashAttention: IO-Aware Fast and Memory-Efficient Attention 26/10/2025
Introducing MTEB v2: Multimodal Embedding Evaluation 26/10/2025
Structural Understanding of LLM Overthinking 26/10/2025
Stuck in the Matrix: LLM Spatial Reasoning 26/10/2025
LLM-Empowered Knowledge Graph Construction: A Survey 26/10/2025
Survey of Emerging Topics in AI and Robotics 26/10/2025
The Free Transformer: VAE Extension for Decoders 26/10/2025
LithOS: Operating System for Efficient GPU Machine Learning 26/10/2025
Ring-linear: Efficient Hybrid Architecture for Long-Context Reasoning 26/10/2025
GigaBrain-0: World Model-Powered Generalist Robots 26/10/2025
Open-o3 Video: Spatio-Temporal Grounded Reasoning 26/10/2025
Cattell–Horn–Carroll Theory of Intelligence 26/10/2025
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