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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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
MetaGraph: knowledge graphs from financial NLP 15/09/2025
Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Model 15/09/2025
The Illusion of Diminishing Returns in LLM Execution 15/09/2025
PyTorch FSDP: Scaling Fully Sharded Data Parallel 15/09/2025
Llama 3: Architecture, Capabilities, and Safety 14/09/2025
Graph Patterns of Knowledge in Large Language Models 14/09/2025
All for One: LLMs Solve Mental Math at the Last Token 13/09/2025
Survey of Reinforcement Learning for Large Reasoning Models 13/09/2025
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