Linking pages
- The AI Scaling Hypothesis https://lastweekin.ai/p/the-ai-scaling-hypothesis 96 comments
- Announcing GPT-NeoX-20B | EleutherAI Blog https://blog.eleuther.ai/announcing-20b/ 70 comments
- Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and Alignment https://thegradientpub.substack.com/p/connor-leahy-on-eleutherai-replicating 9 comments
- An OpenAI Story: From Hegemon to Underdog https://thealgorithmicbridge.substack.com/p/an-openai-story-from-hegemon-to-underdog 0 comments
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- Turing-NLG: A 17-billion-parameter language model by Microsoft - Microsoft Research https://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft/ 139 comments
- https://arxiv.org/abs/2101.03961 4 comments
- [2001.08361] Scaling Laws for Neural Language Models https://arxiv.org/abs/2001.08361 0 comments
- Eliezer Yudkowsky – AI Alignment: Why It's Hard, and Where to Start - YouTube https://www.youtube.com/watch?v=EUjc1WuyPT8 0 comments
- [2102.01293] Scaling Laws for Transfer https://arxiv.org/abs/2102.01293 0 comments
- [2104.12369] PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation https://arxiv.org/abs/2104.12369 0 comments
- [2102.02503] Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models https://arxiv.org/abs/2102.02503 0 comments
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