FastFedora

AI Meets Productivity

Education EN ↓ 29 episodes

A weekly podcast hosted by Trevor Lohrbeer, a productivity expert and co-founder of Day Optimizer, and an artificial intelligence. Each week we discuss topics related to productivity and AI. All conversations are recorded live using ChatGPT voice mode or equivalent. Nothing is pre-scripted.

Be sure to visit the podcast's website and support the creator: www.aimeetsproductivity.com

Author

FastFedora

Category

Education

Podcast website

www.aimeetsproductivity.com

Latest episode

Aug 30, 2024

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Episodes

4. Introducing Retrieval-Augmented Prompting 04.12.2023

Retrieval-Augmented Prompting is a new technique that allows meta GPTs to be built that can switch between different modes, roles or process steps using custom instructions that are retrieved from an API via actions. See the Medium article Retrieval-Augmented Prompting: Enabling prompt switching in GPTs for details.

3. What’s the Difference Between Task and Time Management 26.11.2023

Join ChatGPT and Trevor Lohrbeer as they unravel the often-confused concepts of task and time management. Is "task curation" a better name for "task management" and what are the 5 key aspects of time management? Listen to find out! And stay until the end to hear ChatGPT's tips for using ChatGPT to help you with your task and time management.    Links: What's the Difference Between Task Management...

2. How to Expand the Emotional Expressiveness of GPTs 18.11.2023

Learn how GPTs can express a wide range of emotions by altering how they output text, and how that text then creates a wider emotional range when translated into speech. In this episode, we also discuss how a wider range of emotions can help listeners connect with the material of a podcast more, and potential future developments of voice recognition and generation specific to AIs.

1. Using Emotion in AI Prompts 10.11.2023

In this introductory episode of AI Meets Productivity, ChatGPT and Trevor Lohrbeer discuss how adding emotion into prompts for AI models like ChatGPT can enhance the results, based on a recent paper describing a technique called EmotionPrompt.  

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