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Scaling Laws
•
Applied to
Google's new text-to-image model - Parti, a demonstration of scaling benefits
by
exactapproximations
at
4d
•
Applied to
Causal confusion as an argument against the scaling hypothesis
by
Robert Kirk
at
6d
•
Applied to
[linkpost] The final AI benchmark: BIG-bench
by
RomanS
at
17d
•
Applied to
Ethan Caballero on Private Scaling Progress
by
Raymond Arnold
at
2mo
•
Applied to
[Link] Training Compute-Optimal Large Language Models
by
nostalgebraist
at
3mo
•
Applied to
Compute Trends — Comparison to OpenAI’s AI and Compute
by
Lennart Heim
at
3mo
•
Applied to
Compute Trends Across Three eras of Machine Learning
by
Lennart Heim
at
3mo
•
Applied to
Estimating training compute of Deep Learning models
by
Lennart Heim
at
5mo
•
Applied to
How I'm thinking about GPT-N
by
delton137
at
5mo
•
Applied to
How to measure FLOP/s for Neural Networks empirically?
by
Jaime Sevilla
at
7mo
•
Applied to
Compute Research Questions and Metrics - Transformative AI and Compute [4/4]
by
Lennart Heim
at
7mo
•
Applied to
My ML Scaling bibliography
by
gwern
at
8mo
•
Applied to
/r/MLScaling: new subreddit for NN scaling research/discussion
by
gwern
at
8mo
•
Applied to
Compute Governance and Conclusions - Transformative AI and Compute [3/4]
by
Lennart Heim
at
8mo
•
Applied to
NVIDIA and Microsoft releases 530B parameter transformer model, Megatron-Turing NLG
by
Kaj Sotala
at
8mo
plex
v1.3.0
Oct 4th 2021
(-5)
link in caption
LW
1
Graph
from
Scaling Laws for Neural Language Models
plex
v1.2.0
Oct 4th 2021
(
+5
/
-41
)
using a real image not an attempted one
LW
1

graph
•
Applied to
Forecasting Compute - Transformative AI and Compute [2/4]
by
Lennart Heim
at
9mo
•
Applied to
Proposal: Scaling laws for RL generalization
by
flodorner
at
9mo
•
Applied to
What is Compute? - Transformative AI and Compute [1/4]
by
Lennart Heim
at
9mo
Graphfrom Scaling Laws for Neural Language Models