Scaling BERT and GPT for Financial Services with Jennifer Glore - #561

2022-02-28 · 44 min · episode 561 · 15 entities

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→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

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Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
→ hosted by Sam Charrington person

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Feed author/publisher: Sam Charrington
→ discusses Science concept

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→ discusses Technology company

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Feed category: Technology
→ discusses News concept

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Feed category: News
→ discusses Tech News concept

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Feed category: Tech News
→ hosted by TWIML company

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Feed author/publisher: TWIML

Entities found in this episode

concepts 7

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Feed category: Science
mentioned Tech News concept

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discusses Science concept

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discusses News concept

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mentioned GPT concept

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GPT
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BERT

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mentioned Technology company

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discusses Technology company

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hosted by TWIML company

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mentioned Jennifer Glore person

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Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
mentioned Sam Charrington person

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Feed author/publisher: Sam Charrington
hosted by Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington

podcasts 1

appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68

evidence rules-v4
Scaling BERT and GPT for Financial Services with Jennifer Glore - #561

Episode description as stored

Today we’re joined by Jennifer Glore, VP of customer engineering at SambaNova Systems. In our conversation with Jennifer, we discuss how, and why, Sambanova, who is primarily focused on building hardware to support machine learning applications, has built a GPT language model for the financial services industry. Jennifer shares her thoughts on the progress of industries like banking and finance, as well as other traditional organizations, in their attempts at using transformers and other models, and where they’ve begun to see success, as well as some of the hidden challenges that orgs run into that impede their progress. Finally, we explore their experience replicating the GPT-3 paper from a R&D perspective, how they’re addressing issues of predictability, controllability, governance, etc, and much more. The complete show notes for this episode can be found at twimlai.com/go/561