Training Compute-Optimal Large Language Models (Chinchilla)
by DeepMind · free · Last verified 2026-03-17
Challenges the Kaplan et al. scaling laws by showing that model size and training tokens should scale equally. Trains Chinchilla (70B) on 4× more data than Gopher, matching or beating models 4× its size, redefining compute-optimal training strategies.
https://arxiv.org/abs/2203.15556 ↗B+
B+—Good
Adoption: AQuality: A+Freshness: BCitations: AEngagement: F
Specifications
- License
- Open Access
- Pricing
- free
- Capabilities
- language-modeling, reasoning, scaling-analysis
- Integrations
- Use Cases
- language-modeling, compute-optimal-training, research
- API Available
- No
- Tags
- chinchilla, scaling-laws, compute-optimal, deepmind, training, foundational
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
75.4Adoption
85
Quality
97
Freshness
62
Citations
88
Engagement
0
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