Grammarly's NLP Team Builds the Future of Communication | Grammarly Engineering Blog
This article was co-written by Yury Markovsky, Engineering Manager; Timo Mertens, Head of ML and NLP Products; and Chad Mills, Manager, Applied Research…
This article was co-written by Yury Markovsky, Engineering Manager ; Timo Mertens, Head of ML and NLP Products; and Chad Mills, Manager, Applied Research and Engineering. At Grammarly, we are passionate about improving human communication. Core to this mission has been our work in natural language processing (NLP) . We rely on our team’s deep expertise in NLP, machine learning (ML) , and linguistics to create a delightful product for Grammarly’s 30 million daily active users. But, we feel like we’re only at the beginning. And not just because our models aren’t perfect . . . A case of curious c
related reading
- Under the Hood at Grammarly: Leveraging Transformer Language Models for Grammatical Error Correction | Grammarly Engineering Bloggrammarly.com
- Grammatical Error Correction: Tag, Not Rewrite | Grammarly Engineering Bloggrammarly.com
- Text Simplification by Tagging | Grammarlygrammarly.com
- What Is ChatGPT Doing … and Why Does It Work?-Stephen Wolfram Writingswritings.stephenwolfram.com
- Thinking Machines Labthinkingmachines.ai
- What We’ve Learned From A Year of Building with LLMs – Applied LLMsapplied-llms.org
- AI Revolution - Transformers and Large Language Models (LLMs)blog.eladgil.com
- Language models can explain neurons in language modelsopenaipublic.blob.core.windows.net
- A History of Large Language Modelsgregorygundersen.com
- Language Modelinglena-voita.github.io
- When ChatGPT Broke an Entire Field: An Oral History | Quanta Magazinequantamagazine.org
- Deep Dive into LLMs like ChatGPTyoutube.com