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r/mlscaling
12k members
r/mlscaling is a subreddit with 12k members. Its distinguishing qualities are that the community is large in size.
ML/AI/DL research on approaches using large models, datasets, and compute: "more is different"
Popular Themes in r/mlscaling
#1
News
: "Anthropic raises $4b from Amazon, will prioritize use of Amazon's Trainium GPU-likes"
4 posts
#2
Pain & Anger
: "Stronger Models are NOT Stronger Teachers for Instruction Tuning"
1 post
#3
Advice Requests
: "How to make LLM's capable of higher levels of achievement in the arts and humanities?"
1 post
Popular Topics in r/mlscaling
#1
Ai
: "xAi rAising up to $6 billion to purchase 100,000 Nvidia chips for Memphis data center"
46 posts
#2
Scaling
: ""Scaling Laws for Pre-training Agents and World Models", Pearce et al. 2024"
21 posts
#3
Openai
16 posts
#4
Language Models
10 posts
#5
Models
: ""Scaling Laws for Pre-training Agents and World Models", Pearce et al. 2024"
8 posts
#6
Training
8 posts
#7
Llm
: "Andrej Karpathy: GPT-2 (124M) in Llm.c, in 5 minutes for $2 on 8xH100"
7 posts
#8
Transformers
5 posts
#9
Transformer
: "TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters"
5 posts
#10
Data
: "A Little Human Data Goes A Long Way (training on 90% synthetic Data is fine, but 100% greatly worsens performance)"
5 posts
Member Growth in r/mlscaling
Daily
+12 members(0.1%)
Monthly
+416 members(3.7%)
Yearly
+5k members(70.1%)
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