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.
313 episodios disponibles

Latest episodes of the podcast AI: post transformers

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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
Evolving Language Models Without Labels: EVOL-RL 19/09/2025
SearchInstruct: Instruction Tuning with Dynamic Retrieval 19/09/2025
THOR: Hierarchical RL for Mathematical Reasoning 19/09/2025
The Uneven Diffusion of AI Adoption 19/09/2025
FlowRL: Distribution Matching for LLM Reasoning 19/09/2025
Single-stream Policy Optimization for LLMs 19/09/2025
Pre-computing & reusing KV caches to accelerate RAG inference 18/09/2025
REFRAG: Rethinking RAG-based Decoding 18/09/2025
DeepSeek-R1: Reinforcing LLM Reasoning Through Self-Evolution 18/09/2025
ShadowKV: High-Throughput Long-Context LLM Inference 17/09/2025
TailorKV: Hybrid KV Cache Compression for LLMs 17/09/2025
MIRAGE: Optimizing LLM KV Cache with Parameter Remapping 17/09/2025
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