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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WebSailor-V2: Bridging Proprietary Agents with Synthetic Data and RL 17/09/2025
Dynamic Chunking for Hierarchical Sequence Modeling 17/09/2025
LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning 17/09/2025
QuantAgent: Multi-Agent LLM for High-Frequency Trading 17/09/2025
Infini-gram: Scaling Unbounded N-gram Language Models 17/09/2025
Generalist Reward Modeling with Inference-Time Scaling 16/09/2025
Hierarchical Reasoning Model: Brain-Inspired AI for Complex Tasks 16/09/2025
Native Sparse Attention: Efficient Long-Context LLMs 16/09/2025
CodeI/O: Reasoning Patterns Through Code Input-Output Prediction 16/09/2025
Janus-Pro: Unified Multimodal AI with Scaled Improvements 16/09/2025
Federated Post-Training LLMs: An Accessibility and Efficiency Survey 16/09/2025
Non-Penetrative Tensor Partitioning for Collaborative AIoT Inference 16/09/2025
Collaborative Edge Inference with Dynamic Task Offloading and Early Exiting 16/09/2025
Adaptive LLM Partitioning for Edge Inference 16/09/2025
UQ: Unsolved Questions for Language Models 16/09/2025
PETALS: Collaborative Large Language Model Inference and Fine-tuning 16/09/2025
AWQ: On-Device LLM Compression and Acceleration 15/09/2025
HybridServe: Efficient LLM Inference with Hybrid Caching 15/09/2025
FlexGen: High-Throughput LLM Inference on a Single GPU 15/09/2025
GraphSAGE: Inductive Representation Learning on Large Graphs 15/09/2025
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