Chapter
Advances in Generative Models for Understanding Text-Based Content
34:15 - 38:09 (03:54)
Generative models are now used to better understand the meaning and context of text-based content, by leveraging public human knowledge to identify similarities and meaningful differences between words and phrases. This technology can also be used to analyze and categorize content based on tempo or other features.
Clips
An AI system can be trained to recognize music characteristics such as tempo, and differentiate between good and bad songs with specific features.
34:15 - 36:54 (02:39)
AI Music Recognition
Summary
An AI system can be trained to recognize music characteristics such as tempo, and differentiate between good and bad songs with specific features.
ChapterAdvances in Generative Models for Understanding Text-Based Content
EpisodeBrainstorming ChatGPT Business Ideas With Billionaire Dharmesh Shah
PodcastMy First Million
Generative models are better at understanding documented human knowledge to improve semantic search using natural language processing, such as faceted search used in e-commerce for filtering through various dimensions of products like color, size and price.
36:54 - 38:09 (01:15)
Generative models, Semantic Search
Summary
Generative models are better at understanding documented human knowledge to improve semantic search using natural language processing, such as faceted search used in e-commerce for filtering through various dimensions of products like color, size and price.