Ramesh Nallapati (@nmramesh) 's Twitter Profile
Ramesh Nallapati

@nmramesh

Senior Principal Applied Scientist, AWS AI Labs

ID: 75337954

linkhttps://sites.google.com/site/rameshnallapati/ calendar_today18-09-2009 17:38:05

20 Tweet

99 Followers

27 Following

Ramesh Nallapati (@nmramesh) 's Twitter Profile Photo

Excited to announce Amazon SageMaker Object2Vec, a highly customizable algorithm that can learn embeddings of various types high-dimensional objects #amazon #aws #sagemaker aws.amazon.com/blogs/machine-…

Apache MXNet (@apachemxnet) 's Twitter Profile Photo

New Release of Gluon NLP 0.6: Closing the Gap in Reproducible Research with BERT! Check out the blogpost: medium.com/apache-mxnet/g… #mxnet #gluon #NLP #BERT

Apache MXNet (@apachemxnet) 's Twitter Profile Photo

Call for proposals! Submit your MXNet projects to the AWS Machine Learning Research Awards. Up to $100,000 in AWS credits for individual projects. #deeplearning #mxnet aws.amazon.com/blogs/machine-…

Parminder Bhatia (@parrybhatia243) 's Twitter Profile Photo

The Call for Papers for our first NLP for Medical Conversations workshop is out! It will take place in July 2020 in Seattle. For more information see: byron wallace sites.google.com/view/nlp4medic… #NLPMC #acl2020nlp #Acl2020

Chip Huyen (@chipro) 's Twitter Profile Photo

What if we have something like Spotify for open source projects, where you pay a subscription each month to download any package you want, and developers get paid based on how many people download their package?

Arthur Bražinskas (@abrazinskas_nlp) 's Twitter Profile Photo

Happy to share my #NAACL findings 2022 paper on few-shot opinion summarization of reviews. We use an efficient LM fine-tuning method based on self-supervised adapters that can store in-domain knowledge. with: Mohit Bansal, Markus Dreyer, Ramesh Nallapati 📜: arxiv.org/abs/2205.02170

Happy to share my #NAACL findings 2022 paper on few-shot opinion summarization of reviews. We use an efficient LM fine-tuning method based on self-supervised adapters that can store in-domain knowledge. 

with: <a href="/mohitban47/">Mohit Bansal</a>, <a href="/markusdr/">Markus Dreyer</a>, <a href="/nmramesh/">Ramesh Nallapati</a> 

📜: arxiv.org/abs/2205.02170
Better tech 👨‍⚕️ (@digitalhealthxx) 's Twitter Profile Photo

We present multi-lingual code evaluation benchmarks MBXP and multi-lingual HumanEval, available in 10+ programming languages. With these datasets, we evaluate many facets of language model’s code generation abilities arxiv.org/abs/2210.14868) Amazon Science Ben Athiwaratkun #nlp #NLProc

We present multi-lingual code evaluation benchmarks MBXP and multi-lingual HumanEval, available in 10+ programming languages. With these datasets, we evaluate many facets of language model’s code generation abilities arxiv.org/abs/2210.14868) <a href="/AmazonScience/">Amazon Science</a> <a href="/ben_athi/">Ben Athiwaratkun</a> #nlp #NLProc
Ramesh Nallapati (@nmramesh) 's Twitter Profile Photo

#ASKRAVI Y not apply the same stds to 10dulkar that AUS applies to Ponting? Perf'mance and not reputation shud be the ultimate yardstick rt?

Alex Smola (@smolix) 's Twitter Profile Photo

Train, test and serve machine learning models on Amazon SageMaker. So proud of the team. Thanks Anima. Craig. Edo. Leo. Tom. Owen. aws.amazon.com/sagemaker/

Ramesh Nallapati (@nmramesh) 's Twitter Profile Photo

I am at #ICLR2018 representing AWS! If you are interested in opportunities at AWS, please feel free to message me directly or catch me at the conference!