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PODCAST

Mechanical Dreams

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.

All Episodes

12:25
Latent State Models of Training Dynamics
Mechanical Dreams ·
2025/10/28
en-us
13:59
DeepSeek OCR
Mechanical Dreams ·
2025/10/24
en-us
15:18
The Coverage Principle - How Pre-training Enables...
Mechanical Dreams ·
2025/10/23
en-us
13:33
Continual Learning via Sparse Memory Finetuning
Mechanical Dreams ·
2025/10/22
en-us
11:56
Untitled Episode
Mechanical Dreams ·
2025/10/10
en-us
13:44
Characterization and Mitigation of Training...
Mechanical Dreams ·
2025/10/08
en-us
14:19
Demystifying Synthetic Data in LLM Pre-training- A...
Mechanical Dreams ·
2025/10/07
en-us
13:09
Data Mixing Can Induce Phase Transitions in Knowledge...
Mechanical Dreams ·
2025/10/06
en-us
13:10
Apertus Tech Report
Mechanical Dreams ·
2025/09/21
en-us
14:46
Learning Facts at Scale with Active Reading
Mechanical Dreams ·
2025/09/20
en-us
13:50
Fantastic Pretraining Optimizers and Where to Find Them
Mechanical Dreams ·
2025/09/19
en-us
16:17
Benchmarking Optimizers for Large Language Model...
Mechanical Dreams ·
2025/09/19
en-us
10:57
The Pitfalls of Next-Token Prediction
Mechanical Dreams ·
2025/09/11
en-us
17:01
Large Language Models and Games
Mechanical Dreams ·
2025/09/09
en-us
13:35
UQ - Assessing Language Models on Unsolved Questions
Mechanical Dreams ·
2025/09/05
en-us
14:19
Signal and Noise - A Framework for Reducing...
Mechanical Dreams ·
2025/08/19
en-us
14:42
Using Scaling Laws for Data Source Utility Estimation...
Mechanical Dreams ·
2025/08/18
en-us
13:19
Thinking Like Transformers
Mechanical Dreams ·
2025/07/29
en-us
13:28
Kimi K2
Mechanical Dreams ·
2025/07/28
en-us
11:16
ERNIE Technical Report
Mechanical Dreams ·
2025/07/25
en-us
91 results

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