Evaluating Large Language Models Trained on Code

Mark Chen, Jerry Tworek, Heewoo Jun, +55

arXiv (Cornell University)

Software MaintenanceEngineeringGpt Language ModelSoftware EngineeringLarge Language Model +22

Generative Pretraining From Pixels

Mark Chen, Alec Radford, Rewon Child, +4

International Conference on Machine Learning

Image AnalysisMachine LearningEngineeringGenerative Adversarial NetworkGenerative Models +5

Deep Learning Scaling is Predictable, Empirically

Joel Hestness, Sharan Narang, Newsha Ardalani, +6

arXiv (Cornell University)

Artificial IntelligencePower-law ExponentsLarge Ai ModelNeural Scaling LawEngineering +10

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

Alex Nichol, Heewoo Jun, Prafulla Dhariwal, +2

arXiv (Cornell University)

EngineeringGeometryObject Generation3D ModelingPoint Cloud Processing +22

Scaling Laws for Autoregressive Generative Modeling

Tom Henighan, Jared Kaplan, Mor Katz, +16

arXiv (Cornell University)

EngineeringMachine LearningGenerative SystemImage AnalysisData Science +15

Fast Spectrogram Inversion Using Multi-Head Convolutional Neural Networks

Sercan Ö. Arık, Heewoo Jun, Gregory Diamos

IEEE Signal Processing Letters

Shap-E: Generating Conditional 3D Implicit Functions

Heewoo Jun, Alex Nichol

arXiv (Cornell University)

EngineeringMachine LearningGeometry3D ModelingComputer-aided Design +18

Jukebox: A Generative Model for Music

Prafulla Dhariwal, Heewoo Jun, Christine Payne, +3

arXiv (Cornell University)

MusicComputational MusicologyEngineeringMachine LearningData Science +12

GPT-4o System Card

OpenAI, A. M. Hurst, Adam Lerer, +364

arXiv (Cornell University)

Artificial IntelligenceEngineeringMachine LearningSpeech RecognitionNatural Language Processing +16

Cold Fusion: Training Seq2Seq Models Together with Language Models

Anuroop Sriram, Heewoo Jun, Sanjeev Satheesh, +1

Llm Fine-tuningEngineeringMachine LearningMultilingual PretrainingLarge Language Model +15