How to Host a Transformer Model in the Cloud + Text Analytics for NLPers

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How to Host a Transformer Model in the Cloud + Text Analytics for NLPers | Online

Online Campus

Online
Anywhere
Online

Past Locations for this Event

About this event

Our December 2 meetup features two speakers, Ricky Costa on How to Host a Transformer Model in the Cloud and Seth Grimes on Text Analytics for NLPers. Doors open at 6 pm with refreshments courtesy of sponsor Lymba (https://www.lymba.com/), and the program starts at 6:30 pm.

Ricky is CEO of Quantum Stat, which provides business solutions for NLP and AI initiatives (http://www.quantumstat.com). Seth consults on NLP and AI product and market strategy to startups and established solution providers, via Alta Plana Corporation (http://altaplana.com).

Ricky's talk: There is a dearth of public information on how developers can host large AI models. And although deploying models to production can be a daunting task for many data scientists who have never done it before, you can actually host a low-resource model without a GPU. Speaker Ricky Costa will show how he took a pre-trained BERT transformer (fine-tuned on SQUAD dataset) and hosted it on Google Cloud. He will include technical slides on the pipeline from a Flask app all the way to a web server.

Seth's talk: Text Analytics applies natural language understanding (NLU) technologies -- named entity recognition, topic modeling, relation extraction, sentiment analysis and opinion mining, and more -- to transform text into data, and it applies business intelligence, statistics, and visualization techniques to turn text-extracted data into business insights. Seth's talk will provide a concise introduction to text analytics -- tech, solutions, applications, and the market -- for folks who understand NLP and want a practical to an important NLP application.

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