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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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
Internal Mechanisms of a Large Language Model 26/10/2025
Latent Constituency in Humans and LLMs 26/10/2025
Cognitive Impact of AI and Search on Essay Writing 26/10/2025
LFM2-8B-A1B: Efficient On-Device Mixture-of-Experts 26/10/2025
MASA: Meta-Awareness via Self-Alignment Reinforcement Learning 26/10/2025
LLMs Learning from Verbal Feedback Without Scalar Rewards 26/10/2025
Lp-Reg: Low-Probability Tokens Sustain RL Exploration 26/10/2025
REFRAG: v2 paper: Efficient RAG Decoding via Context Compression 22/10/2025
RoBERTa: Robustly Optimized BERT Pretraining Approach 22/10/2025
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