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PODCAST

Mechanical Dreams

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.
science natural sciences

All Episodes

12:31
A Multi-Power Law for Loss Curve Prediction
Mechanical Dreams ·
2025/04/14
en-us
10:48
Efficient Training of Ultra-Long Context Large...
Mechanical Dreams ·
2025/04/11
en-us
15:04
Multi-Token Attention
Mechanical Dreams ·
2025/04/03
en-us
10:50
From Style to Facts
Mechanical Dreams ·
2025/04/02
en-us
9:09
Compute Optimal Scaling of Skills
Mechanical Dreams ·
2025/03/22
en-us
8:43
Predictive Data Selection
Mechanical Dreams ·
2025/03/15
en-us
10:41
Continual Pre-training of MoEs
Mechanical Dreams ·
2025/03/12
en-us
10:37
s1 - Simple test-time scaling
Mechanical Dreams ·
2025/03/06
en-us
7:20
Cognitive Behaviors that Enable Self-Improving Reasoners
Mechanical Dreams ·
2025/03/05
en-us
11:26
Phi 4 Multimodal Instruct
Mechanical Dreams ·
2025/03/04
en-us
9:21
Claude 3.7 Sonnet System Card
Mechanical Dreams ·
2025/02/25
en-us
10:16
Project Sid: Many-agent simulations toward AI...
Mechanical Dreams ·
2025/02/09
en-us
9:07
The Surprising Agreement Between Convex Optimization...
Mechanical Dreams ·
2025/02/09
en-us
8:17
Scaling Laws for Optimal Sparsity for...
Mechanical Dreams ·
2025/02/05
en-us
11:38
NExtLong - Toward Effective Long-Context Training...
Mechanical Dreams ·
2025/01/30
en-us
10:55
Over-Tokenized Transformer
Mechanical Dreams ·
2025/01/30
en-us
12:36
Optimizing Pretraining Data Mixtures with...
Mechanical Dreams ·
2025/01/30
en-us
11:04
HashAttention: Semantic Sparsity for Faster Inference
Mechanical Dreams ·
2025/01/16
en-us
14:04
From Tokens to Words
Mechanical Dreams ·
2025/01/15
en-us
11:11
DeepSeek V3
Mechanical Dreams ·
2025/01/07
en-us
91 results

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