Amber Teng - Building apps with a new generation of language models

Joining Jeremie Harris this episode is Amber Teng, a data scientist and TDS author (and former editor!) who recently published a blog that got quite a bit of attention, about a resume cover letter generator that she created using GPT-3, OpenAI's powerful and now-famous language model. They discussed the applied side of language modelling and prompt engineering, understanding how large language models have made new apps not only possible but also much easier to build, and the likely future of AI-powered products.

Intro music:
➞ Artist: Ron Gelinas
➞ Track Title: Daybreak Chill Blend (original mix)
➞ Link to Track: https://youtu.be/d8Y2sKIgFWc

0:00 Intro
2:30 Amber’s background
5:30 Using GPT-3
14:45 Building prompts up
18:15 Prompting best practices
21:45 GPT-3 mistakes
25:30 Context windows
30:00 End-to-end time
34:45 The cost of one cover letter
37:00 The analytics
41:45 Dynamics around company-building
46:00 Commoditization of language modelling
51:00 Wrap-up

Видео Amber Teng - Building apps with a new generation of language models канала Towards Data Science