“‘GPT-3’ Tag”,2021-09-08

Bibliography for tag ai/nn/transformer/gpt/3, most recent first: 4 related tags, 27 annotations, & 18 links (parent).

• See Also
• Gwern
  • “The Scaling Hypothesis”, Gwern2020
• Links
  • “Benchmarking the Performance of Large Language Models on the Cerebras Wafer Scale Engine”, Zhang et al 2024
  • “RAG vs Fine-Tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture”, Balaguer et al 2024
  • “Inside the Chaos at OpenAI: Sam Altman’s Weekend of Shock and Drama Began a Year Ago, With the Release of ChatGPT”, Hao & Warzel2023
  • “Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation”, Ding et al 2023
  • “Does GPT-4 Pass the Turing Test?”, Jones & Bergen2023
  • “PAIR: Jailbreaking Black Box Large Language Models in 20 Queries”, Chao et al 2023
  • “Fine-Tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!”, Qi et al 2023
  • “Non-Determinism in GPT-4 Is Caused by Sparse MoE”, 152334H 2023
  • “Large Language Models As Superpositions of Cultural Perspectives”, Kovač et al 2023
  • “AI Is a Lot of Work: As the Technology Becomes Ubiquitous, a Vast Tasker Underclass Is Emerging—And Not Going Anywhere”, Dzieza2023
  • “I’m Afraid I Can’t Do That: Predicting Prompt Refusal in Black-Box Generative Language Models”, Reuter & Schulze2023
  • “Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4”, Chang et al 2023
  • “GPTs Are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, Eloundou et al 2023
  • “Why Didn’t DeepMind Build GPT-3?”, Godwin2023
  • “OpenAI’s Sam Altman Talks ChatGPT And How Artificial General Intelligence Can ‘Break Capitalism’”, Konrad & Cai2023
  • “GPT-3 As Knowledge Worker: A Zero-Shot Evaluation of AI CPA Capabilities”, Bommarito et al 2023
  • “Language Models Are Better Than Humans at Next-Token Prediction”, Shlegeris et al 2022
  • “HALIE: Evaluating Human-Language Model Interaction”, Lee et al 2022
  • “TruthfulQA: Measuring How Models Mimic Human Falsehoods”, Lin et al 2021
  • “‘How GPT-3 Is Shaping Our AI Future’ With Sam Altman/Azeem Azhar (The Exponential View), Wednesday 7 October 2020”
  • “Scaling Laws for Neural Language Models: Figure 15: Far beyond the Model Sizes We Study Empirically, We Find a Contradiction between Our Equations § Pg17”, Kaplan2020 (page 17 org openai)
  • “Towards Synthesizing Complex Programs from Input-Output Examples”, Chen et al 2017
  • “Genetics of Caffeine Consumption and Responses to Caffeine”, Yang et al 2010
  • “Why GPT-3 Matters”, Gao2024
  • “Greg Brockman: OpenAI and AGI”, Brockman2024
  • M74108556
  • sharifshameem
• Miscellaneous
• Bibliography