- 01:25 - Do NLP models need someone that is not completely monolingual?
- 05:20 - Types of NLP in marketing and/or e-commerce.
- 11:30 - Challenges in the e-commerce space: Behavioural data gathered by cookies has disappeared.
- 16:00 - Every 40 seconds, our attention breaks. Is that fact taken into account in NLP modeling for personalization?
- 18:20 - Models like GPT-3 open a whole new commercialization avenue in the marketing world, specifically for content creation. Impact of the wave.
- 21:50 - Is it fair to use an AI model for IP and content in such a way you influence millions of users on a website at once?
- 30:45 - Explainable models, debugging and how models could function.
- 37:00 - Provocative contexts for data scientists nowadays.
- 41:00 - Future of NLP.
Episode references:
- GPT3 the beginning of a new app ecosystem
- Amazon makes Alexa Conversations generally available to developers
- Copy.AI and Taglines.AI based on GPT3. Other spinoffs in the same space: Copy Shark; Snazzy AI; experiments using platforms like VWO.
- Explainable models by DARPA
- NLP in Marketing, part 1
- How virtual assistants (i.e. in your smartphone) understand you
- AI and NLP in marketing, webinar
- Katherine's Linkedin
- Katherine's Twitter
- Bucharest AI's meetup on Gender Imbalance, AI Mentorship & good delivery in AI
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