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Sapan Patel

Senior Applied Scientist at Amazon

Sapan Patel is a Principal Scientist at Amazon Science with over 14 years of experience in developing enterprise-level Big Data and Machine Learning projects.2 He is based in Seattle, Washington, and has 9K followers on LinkedIn.1 Patel specializes in developing cutting-edge machine learning solutions and has been involved in spearheading innovative projects at Amazon.2 His LinkedIn username is sapankp.1

In addition to his professional work, Sapan Patel has interests in traveling, photography, digital art, gourmet food, technology, Pink Floyd, masala chai, and single malt.4 He has also published research, including work on a reference text biased listen, attend, and spell model for accurate reading evaluation.3

Highlights

May 9 · linkedin

A Primer On Inner Workings of Transformer Language Models.

This comprehensive paper dives deep into the interpretability of Transformers, shedding light on their internal workings and decoding mechanisms. From practical methods to theoretical studies, the paper explores a wide array of topics, including in-context learning, data compression, learning dynamics, and generalization properties of Transformers.

Also, by providing a concise and in-depth technical introduction to interpretability techniques in language model research, the paper aims to bridge the gap between theoretical studies and practical applications in understanding Transformer models.

 #NLP #Transformers #Research #AI #Interpretability #ML #GenerativeAI

(Full paper link in comments)

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Sapan Patel
Sapan Patel, photo 1
Sapan Patel, photo 2
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Location

Seattle, Washington