Mechanical Dreams

Mechanical Dreams

Por: Mechanical Dirk
An automatically generated podcast about machine learning and natural language processing. The two fictional hosts talk about papers that I want to learn more about on my way to work.It's not good, but it's useful.
89 episodios disponibles

Latest episodes of the podcast Mechanical Dreams

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Multi-Token Attention 03/04/2025
From Style to Facts 02/04/2025
Compute Optimal Scaling of Skills 21/03/2025
Predictive Data Selection 15/03/2025
Continual Pre-training of MoEs 12/03/2025
s1 - Simple test-time scaling 06/03/2025
Cognitive Behaviors that Enable Self-Improving Reasoners 05/03/2025
Phi 4 Multimodal Instruct 04/03/2025
Claude 3.7 Sonnet System Card 24/02/2025
Project Sid: Many-agent simulations toward AI civilization 08/02/2025
The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training 08/02/2025
Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models 05/02/2025
NExtLong - Toward Effective Long-Context Training without Long Documents 30/01/2025
Over-Tokenized Transformer 29/01/2025
Optimizing Pretraining Data Mixtures with LLM-Estimated Utility 29/01/2025
HashAttention: Semantic Sparsity for Faster Inference 16/01/2025
From Tokens to Words 14/01/2025
DeepSeek V3 07/01/2025
Optimal Linear Decay Learning Rate Schedules and Further Refinements 05/01/2025
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers 20/12/2024
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