Semantic Folding for Natural Language Understanding with Francisco Weber - #451

Semantic Folding for Natural Language Understanding with Francisco Weber - #451

Today we’re joined by return guest Francisco Webber, CEO & Co-founder of Cortical.io. Francisco was originally a guest over 4 years and 400 episodes ago, where we discussed his company Cortical.io, and their unique approach to natural language processing. In this conversation, Francisco gives us an update on Cortical, including their applications and toolkit, including semantic extraction, classifier, and search use cases. We also discuss GPT-3, and how it compares to semantic folding, the unreasonable amount of data needed to train these models, and the difference between the GPT approach and semantic modeling for language understanding. The complete show notes for this episode can be found at twimlai.com/go/451.

Avsnitt(778)

Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243

Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243

Today we’re joined by Elena Nieddu, Phd Student at Roma Tre University, who presented on her project “In Codice Ratio” at the TF Dev Summit. In our conversation, Elena provides an overview of the pro...

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Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242

Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242

Today we're joined by Paige Bailey, TensorFlow developer advocate at Google, to discuss the TensorFlow 2.0 alpha release. Paige and I talk through the latest TensorFlow updates, including the evolutio...

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Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241

Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241

Today we’re joined by Andrew Trask, PhD student at the University of Oxford and Leader of the OpenMined Project, an open-source community focused on researching, developing, and promoting tools for se...

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The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240

The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240

Today we’re joined by Jos Van Der Westhuizen, PhD student in Engineering at Cambridge University. Jos’ research focuses on applying LSTMs, or Long Short-Term Memory neural networks, to biological dat...

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Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239

Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239

Today we’re joined by Andrew Guldman, VP of Product Engineering and R&D at Fluid to discuss Fluid XPS, a user experience built to help the casual shopper decide on the best product choices during onli...

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Active Learning for Materials Design with Kevin Tran - TWiML Talk #238

Active Learning for Materials Design with Kevin Tran - TWiML Talk #238

Today we’re joined by Kevin Tran, PhD student at Carnegie Mellon University. In our conversation, we explore the challenges surrounding the creation of renewable energy fuel cells, which is discussed ...

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Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237

Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237

Today we’re joined by Aydogan Ozcan, Professor of Electrical and Computer Engineering at UCLA, exploring his group's research into the intersection of deep learning and optics, holography and computat...

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Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer - TWiML Talk #236

Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer - TWiML Talk #236

Today we’re joined by Hema Raghavan and Scott Meyer of LinkedIn to discuss the graph database and machine learning systems that power LinkedIn features such as “People You May Know” and second-degree ...

4 Mars 201946min

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