Mechanical Dirk

Mechanical Dreams

Science EN ↓ 170 episodes

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.

Be sure to visit the podcast's website and support the creator: mechanicaldreams.mechanicaldirk.com

Author

Mechanical Dirk

Episodes

Gemini 2.5 04.07.2025 11:12

How new data permeates LLM knowledge and how to dilute it 18.06.2025 11:18

Harnessing the Universal Geometry of Embeddings 17.06.2025 12:24

Model Merging in Pre-training of Large Language Models 16.06.2025 10:57

Learning Dynamics in Continual Pre-Training for Large Language Models 13.06.2025 11:10

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs 12.06.2025 11:50

Scalable-Softmax Is Superior for Attention 11.06.2025 10:20

Breast Cancer Recurrence Prediction 06.06.2025 10:20

Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research 04.06.2025 10:27

Native Sparse Attention 04.06.2025 11:40

Critical Batch Size Revisited 03.06.2025 10:57

Rope to Nope and Back Again 17.05.2025 12:11

Base of RoPE Bounds Context Length 17.05.2025 11:03

Training Deep Learning Models with Norm-Constrained LMOs 15.05.2025 11:10

SkyLadder 09.05.2025 12:25

LLMs on the Line 07.05.2025 9:30

The Leaderboard Illusion 30.04.2025 10:16

Why Linearly Decaying the Learning Rate to Zero Works Best 16.04.2025 9:01

Not All Data Are Unlearned Equally 15.04.2025 12:38

A Multi-Power Law for Loss Curve Prediction 14.04.2025 12:31

Efficient Training of Ultra-Long Context Large Language Models 11.04.2025 10:48

Multi-Token Attention 03.04.2025 15:04

From Style to Facts 02.04.2025 10:50

Compute Optimal Scaling of Skills 22.03.2025 9:10

Predictive Data Selection 15.03.2025 8:43

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Mechanical Dreams