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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Mojo: Performance-Portable HPC Kernels on GPUs 18/10/2025
Scaling Reinforcement Learning Compute for LLMs 17/10/2025
HBF: High Bandwidth Flash for AI Inferencing 15/10/2025
Architectural Migration to Multi-head Latent Attention 15/10/2025
COPA: Composable On-Package GPU Architecture for Domain Specialization 15/10/2025
Performance of Confidential Computing for Large Language Models 11/10/2025
Google: Confidential Computing with Accelerated AI Workloads on GCE 11/10/2025
AWS: Nitro System: Security, Enclaves, and Generative AI 11/10/2025
Anthropic: Confidential Inference via Trusted Virtual Machines 11/10/2025
RAND: Securing AI Model Weights: Preventing Theft and Misuse 11/10/2025
Training-Free GRPO: Policy Optimization via Context Space 11/10/2025
Multi-Agent Tool-Integrated Policy Optimization (MATPO) 11/10/2025
UniVideo: Unified Video Understanding, Generation, and Editing 11/10/2025
Dragon Hatchling: Brain-Inspired AI Architecture 10/10/2025
AGENTFLOW: In-the-Flow Agentic System Optimization 10/10/2025
Samsung: Less is More: Recursive Reasoning with Tiny Networks 10/10/2025
Early Experience for Language Agent Improvement 10/10/2025
Petri: Accelerating AI Safety Auditing 10/10/2025
Agentic Context Engineering: Evolving Contexts for Self-Improving LLMs 10/10/2025
CLUE: Hidden-State Clustering for Non-parametric Verification 10/10/2025
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