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

Mostrando página 11 de 18

SpikingBrain: Brain-Inspired LLMs for Efficient Long-Context Processing 13/09/2025
Statistical Methods for Generative AI Reliability 13/09/2025
EntiGraph: Scaling Language Models with Synthetic Pretraining 13/09/2025
NOVELTYBENCH: Evaluating Language Model Diversity 12/09/2025
HyperController: Fast, Stable Reinforcement Learning Hyperparameter Optimization 12/09/2025
Parallel-R1: Reinforcement Learning for Parallel Thinking in LLMs 12/09/2025
Explaining AI for Digital Advertising with LLMs 11/09/2025
AdLlama: Boosting Ad Performance with Reinforcement Learning 11/09/2025
ByteCheckpoint: A Unified LLM Checkpointing System 11/09/2025
Darling: Reinforcing Diversity and Quality in Language Models 10/09/2025
INF2: Near-Storage LLM Inference for High Throughput 10/09/2025
K2-Think: A Parameter-Efficient Reasoning System 10/09/2025
AlphaEvolve: AI for Scientific and Algorithmic Discovery 10/09/2025
BLEU: Automatic Machine Translation Evaluation 10/09/2025
Mini-o3: Scaling Reasoning for Visual Search 10/09/2025
Masked Diffusion Models: Performance and Theory 10/09/2025
TraceRL: Reinforcement Learning for Diffusion Language Models 09/09/2025
LLM Benchmark Robustness to Linguistic Variation 09/09/2025
Behavioral Fingerprinting of Large Language Models 09/09/2025
Offloading LLM Models and KV Caches to NVMe SSDs 08/09/2025
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