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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AI and the Memory Wall: Overcoming Bottlenecks 08/08/2025
DyNN-Offload: Efficient Memory for Dynamic Neural Networks 08/08/2025
TierTrain: Proactive Memory Tiering for DNN Training 08/08/2025
MoE Offloaded 08/08/2025
CODEGEN: Open Language Model for Code Synthesis 08/08/2025
DeepSeekMoE: Scalable Mixture-of-Experts Language Models 08/08/2025
DeepSeek-R1 Dynamic 1.58-bit Quantization: A Performance Analysis 08/08/2025
DeepSeek Safety Concerns 08/08/2025
DeepSeek-V3: A Technical Report 08/08/2025
DeepSeek-R1: Incentivizing Reasoning in LLMs 08/08/2025
Mamba: Linear-Time Sequence Modeling with Selective State Spaces 08/08/2025
Demystifying Mamba: Architecture and Capabilities 08/08/2025
MetaScale: Test-Time Scaling with Evolving Meta-Thoughts 08/08/2025
Test-Time Scaling 08/08/2025
Chain of thought 08/08/2025
LoRA: Low-Rank Adaptation of Large Language Models 08/08/2025
Reinforcement Learning 08/08/2025
Concept Drift 08/08/2025
Multi Query Attention: PaLM: Scaling Language Modeling with Pathways 08/08/2025
Reinforcement Pre-Training for Language Models 08/08/2025
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