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.
97 episodios disponibles

Latest episodes of the podcast Mechanical Dreams

Engram Paper 12/01/2026
From Entropy to Epiplexity- Rethinking Information for Computationally Bounded Intelligence 09/01/2026
Completed Hyperparameter Transfer across Modules, Width, Depth, Batch and Duration 08/01/2026
NorMuon- Making Muon more efficient and scalable 07/01/2026
Dion- Distributed Orthonormalized Updates 06/01/2026
How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining 05/01/2026
Latent State Models of Training Dynamics 28/10/2025
DeepSeek OCR 24/10/2025
The Coverage Principle - How Pre-training Enables Post-Training 23/10/2025
Continual Learning via Sparse Memory Finetuning 22/10/2025
Untitled Episode 10/10/2025
Characterization and Mitigation of Training Instabilities in Microscaling Formats 08/10/2025
Demystifying Synthetic Data in LLM Pre-training- A Systematic Study of Scaling Laws, Benefits, and Pitfalls 07/10/2025
Data Mixing Can Induce Phase Transitions in Knowledge Acquisition 06/10/2025
Apertus Tech Report 21/09/2025
Learning Facts at Scale with Active Reading 20/09/2025
Fantastic Pretraining Optimizers and Where to Find Them 19/09/2025
Benchmarking Optimizers for Large Language Model Pretraining 18/09/2025
The Pitfalls of Next-Token Prediction 10/09/2025
Large Language Models and Games 09/09/2025
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