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Mechanical Dirk

Mechanical Dreams

Science EN ↓ 170 episodi

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.

Visita il sito del podcast e sostieni chi lo crea: mechanicaldreams.mechanicaldirk.com

Autore

Mechanical Dirk

Categoria

Science

Sito del podcast

mechanicaldreams.mechanicaldirk.com

Ultimo episodio

27 set 2026

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Episodi

Gemini 2.5 04.07.2025
How new data permeates LLM knowledge and how to dilute it 18.06.2025
Harnessing the Universal Geometry of Embeddings 17.06.2025
Model Merging in Pre-training of Large Language Models 16.06.2025
Learning Dynamics in Continual Pre-Training for Large Language Models 13.06.2025
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs 12.06.2025
Scalable-Softmax Is Superior for Attention 11.06.2025
Breast Cancer Recurrence Prediction 06.06.2025
Shareable artificial intelligence to extract cancer outcomes from electronic health records for precision oncology research 04.06.2025
Native Sparse Attention 04.06.2025
Critical Batch Size Revisited 03.06.2025
Rope to Nope and Back Again 17.05.2025
Base of RoPE Bounds Context Length 17.05.2025
Training Deep Learning Models with Norm-Constrained LMOs 15.05.2025
SkyLadder 09.05.2025
LLMs on the Line 07.05.2025
The Leaderboard Illusion 30.04.2025
Why Linearly Decaying the Learning Rate to Zero Works Best 16.04.2025
Not All Data Are Unlearned Equally 15.04.2025
A Multi-Power Law for Loss Curve Prediction 14.04.2025
Efficient Training of Ultra-Long Context Large Language Models 11.04.2025
Multi-Token Attention 03.04.2025
From Style to Facts 02.04.2025
Compute Optimal Scaling of Skills 22.03.2025
Predictive Data Selection 15.03.2025

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