Title: Peter Izsak
Open Graph Title: Peter Izsak
X Title: Peter Izsak
Description: Peter Izsak's personal website
Open Graph Description: Peter Izsak's personal website
X Description: Peter Izsak's personal website
Keywords:
Opengraph URL: /
Generator: Hugo 0.162.1
Domain: peteriz.github.io
| color-scheme | light dark |
| author | Peter Izsak |
| twitter:card | summary |
| og:site_name | Peter Izsak |
| og:locale | en |
| og:type | website |
Links:
| Peter Izsak | https://peteriz.github.io/ |
| Bio | https://peteriz.github.io/bio/ |
| Publications | https://peteriz.github.io/publications/ |
| Read selected publications | https://peteriz.github.io/publications/ |
| Bio | https://peteriz.github.io/bio/ |
| International Conference on Learning Representations (ICLR 2025) HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly Howard Yen, Tianyu Gao, Minmin Hou, et al. | https://peteriz.github.io/publications/ |
| Preprint RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation Daniel Fleischer, Moshe Berchansky, Moshe Wasserblat and Peter Izsak | https://peteriz.github.io/publications/ |
| The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) How to Train BERT with an Academic Budget Peter Izsak, Moshe Berchansky and Omer Levy | https://peteriz.github.io/publications/ |
| 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS) (2019): 36-39. Q8BERT: Quantized 8Bit BERT Ofir Zafrir, Guy Boudoukh, Peter Izsak and Moshe Wasserblat | https://peteriz.github.io/publications/ |
| Github | https://github.com/peteriz |
| https://twitter.com/peter_izsak | |
| https://www.linkedin.com/in/peteriz/ | |
| Google Scholar | https://scholar.google.com/citations?user=rTE9adkAAAAJ&hl=en |
| Semantic Scholar | https://www.semanticscholar.org/author/Peter-Izsak/2477428 |
Viewport: width=device-width,initial-scale=1