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Practically Intelligent

ChatGPT API, AI Business Models, and RLHF

Jun 8, 2023
The first episode of this podcast discusses the release of the ChatGPT API and its impact on AI business models. They explore the concept of reinforcement learning from human feedback and its importance in improving AI models. They also touch on the future of cloud providers and AI models, alignment in language models, and the possibility of discussing the singularity and AI regulation with future guests.
51:41

Podcast summary created with Snipd AI

Quick takeaways

  • Reinforcement Learning for Human Feedback (RLHF) is an iterative process that aligns language models' outputs with human expectations, resulting in more accurate and useful responses.
  • The chat GPT API's recent 10 times cheaper pricing, along with new functionalities and improved speed, has caught the attention of developers, sparking speculations about potential competition and the need for developer relations.

Deep dives

Overview of Practically Intelligent Podcast

The Practically Intelligent podcast aims to distill AI topics into practical and actionable steps for developers, product managers, and anyone interested in AI. Each episode covers a specific topic, along with news and notes on recent developments in AI. The hosts, Akshay and Sonon, provide insights and discuss the impact of AI on technology development. In this episode, they introduce themselves and highlight the importance of making each episode practically useful for the audience's workflow and product needs.

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