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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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
Introducing RTEB: Retrieval Embedding Benchmark 03/10/2025
CUDA Unified Memory and Heterogeneous Memory Management 02/10/2025
Moravec's Paradox and AI Automation Limits 01/10/2025
Characterizing LLM KV Cache Workloads in Production 01/10/2025
BurstGPT: A Real-World LLM Serving Workload Dataset 01/10/2025
Qwen3-Next & Qwen3-Omni technical report 30/09/2025
Variational Reasoning Framework for Language Models 29/09/2025
Federated Learning with Soft Embeddings for Retrieval 27/09/2025
Schoenfeld Theory Applied to Large Reasoning Models 27/09/2025
CWM: Code Generation with World Models 27/09/2025
EmbeddingGemma: Powerful Lightweight Text Representations 26/09/2025
CE-GPPO: Controlling Entropy via Gradient-Preserving Policy Optimization 26/09/2025
Seedream 4.0: Multimodal Image Generation System 26/09/2025
Tree-based Group Policy Optimization for LLM Agents 26/09/2025
GDPval: Measuring AI Performance on Real-World Work 26/09/2025
Adaptive Compression Techniques for Efficient LLM Inference 20/09/2025
LLM-I: Interleaved Multimodal Creators via Tool-Use 20/09/2025
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