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

Mostrando página 5 de 5

Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations 19/11/2024
Understanding WSD Learning Rates 18/11/2024
Toward Understanding Why Adam Converges Faster Than SGD for Transformers 16/11/2024
Amuro & Char - Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models 08/11/2024
Evaluation data contamination in LLMs: How do we measure it and (when) does it matter? 07/11/2024
How Does Critical Batch Size Scale in Pre-training? 04/11/2024
The Road Less Scheduled 01/11/2024
Learning-Rate-Free Learning by D-Adaptation 31/10/2024
Scaling FP8 Training to Trillion Token LLMs 30/10/2024
Geometric Dynamics of Signal Propagation Predict Trainability of Transformers 29/10/2024
A Survey on Model MoErging 28/10/2024
Liquid Time-constant Networks 27/10/2024
Scaling Laws for Predicting Downstream Performance in LLMs 26/10/2024
A Spectral Condition for Feature Learning 25/10/2024
Don't decay the learning rate 24/10/2024
OLMoE 23/10/2024
An Empirical Model of Large Batch Training 22/10/2024
« Primera ‹ Anterior 1 ... 3 4 5
© 2003-2026 ZARZA | AHEAD OF OUR TIME
privacy policy
In God we trust In God we trust
PreSales Questions? Click Here
or call our toll-free line at +1-888-5002068 Miami, Florida, USA