Practical AI
From ML to AI to Generative AI
Jun 21, 2023
The hosts explore how generative AI is reshaping the landscape of machine learning. They discuss the evolution of AI terminology and the key differences between supervised learning and generative models. Insights are shared on the time-saving capabilities of generative AI, supported by a real-life example of creating a presentation. The conversation also navigates the ethical risks of generative technologies, reflecting on humanity's changing identity and the delicate balance between advancement and intention.
46:39
AI Summary
Highlights
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Generative AI offers powerful capabilities by using large models to generate output based on given inputs.
- Fine-tuning foundation models enables efficient and customized use of AI, leading to highly productive processes in various domains.
Deep dives
The Shift towards Generative AI
The podcast episode explores the shift in the AI landscape towards generative AI. Generative AI refers to the use of large models to generate output based on a given input. These models are trained to complete sequences of information, such as generating images, text, or music. The podcast discusses how generative AI has become a game changer, offering powerful capabilities that are being applied to various use cases. The hosts highlight the importance of understanding these models as a data transformation tool rather than conscious beings. They also discuss the potential risks associated with using generative AI, including the possibility of humans shaping these models for harmful purposes.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
