Linking pages
Linked pages
- How does GPT Obtain its Ability? Tracing Emergent Abilities of Language Models to their Sources https://yaofu.notion.site/How-does-GPT-Obtain-its-Ability-Tracing-Emergent-Abilities-of-Language-Models-to-their-Sources-b9a57ac0fcf74f30a1ab9e3e36fa1dc1 192 comments
- Meet Claude: Anthropic’s Rival to ChatGPT | Blog | Scale AI https://scale.com/blog/chatgpt-vs-claude 156 comments
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- CarperAI, an EleutherAI lab, announces plans for the first open-source “instruction-tuned” language model. | CarperAI https://carper.ai/instruct-gpt-announcement/ 20 comments
- Deep Reinforcement Learning: Pong from Pixels https://karpathy.github.io/2016/05/31/rl/ 16 comments
- [2107.03374] Evaluating Large Language Models Trained on Code https://arxiv.org/abs/2107.03374 8 comments
- [2109.01652] Finetuned Language Models Are Zero-Shot Learners https://arxiv.org/abs/2109.01652 4 comments
- GitHub - salesforce/CodeGen: CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex. https://github.com/salesforce/CodeGen 2 comments
- How Much Better is OpenAI’s Newest GPT-3 Model? - Scale https://scale.com/blog/gpt-3-davinci-003-comparison 2 comments
- Scale Spellbook: The platform for large language model apps. https://scale.com/spellbook 0 comments
- https://arxiv.org/abs/2203.02155 0 comments
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