Pranav Shyam

Language Models are Few-Shot Learners

T. B. Brown, Benjamin Mann, Nick Ryder et al. · arXiv (Cornell University) · 2020 · 3K citations · Full text

Artificial Intelligence, Few-shot Learning, Llm Fine-tuning +20

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Alex Nichol, Prafulla Dhariwal, Aditya Ramesh et al. · arXiv (Cornell University) · 2021 · 996 citations · Full text

Realistic Rendering, Engineering, Machine Learning +17

Gemini: A Family of Highly Capable Multimodal Models

Gemini Robotics Team, Rohan Anil, Sebastian Borgeaud et al. · arXiv (Cornell University) · 2023 · 784 citations · Full text

Artificial Intelligence, Natural Language Processing, New Family +15

Text and Code Embeddings by Contrastive Pre-Training

Arvind Neelakantan, Tao Xu, Raul Puri et al. · arXiv (Cornell University) · 2022 · 147 citations · Full text

Llm Fine-tuning, Engineering, Machine Learning +20

Attentive Recurrent Comparators

Pranav Shyam, Shubham Gupta, Ambedkar Dukkipati · arXiv (Cornell University) · 2017 · 64 citations · Full text

Few-shot Learning, Engineering, Machine Learning +17