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

Spectral Gap: Analysis of Attention Layers and Graph Transformers 10/11/2025
CARTRIDGE: Efficient In-Context Learning via Distillation 10/11/2025
Metacognition and Skill Discovery in LLM Math Reasoning 10/11/2025
Context Distillation for Language Models 10/11/2025
Tempo: SLO-Aware LLM Serving Maximizing Service Gain 10/11/2025
LLM-AutoDiff: Auto-Differentiate Any LLM Workflow 10/11/2025
Confucius: Intent-Driven Network Management with Multi-Agent LLMs 10/11/2025
SYMPHONY: Memory Management for LLM Multi-Turn Inference 10/11/2025
DSPy and TextGrad: Compiling Language Model Systems 10/11/2025
Vidur: Simulation for Efficient LLM Inference Deployment 10/11/2025
Continuous Autoregressive Language Models: CALM 10/11/2025
A Framework for LLM Application Safety Evaluation 10/11/2025
Doubly Stochastic Attention for Transformers 10/11/2025
Random Walk Methods for Graph Learning and Networks 10/11/2025
AlphaEvolve: Mathematical Discovery at Scale 10/11/2025
AdaFlow: Variance-Adaptive Flow-Based Imitation Learning 10/11/2025
zFLoRA: Zero-Latency Fused Low-Rank Adapters 04/11/2025
SuperBPE: Space Travel for Language Models 04/11/2025
Google: Supervised Reinforcement Learning for Step-wise Reasoning in LLMs 04/11/2025
MorphKV: Constant-Sized KV Caches for LLM Inference 04/11/2025
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