Listen "What’s NEXT for AI Prompting in 2025?"
Episode Synopsis
https://www.thedailyaishow.com
In today's episode of the Daily AI Show, Brian, Beth, and Andy discussed the evolving art of prompt engineering in AI for 2025. They focused on the importance of clear instructions, the growing capabilities of AI models in various applications like image and video generation, and the need to adapt prompting techniques with advancements in technology to achieve desired outcomes effectively.
Key Points Discussed:
Continuous Improvement in Prompting: The hosts emphasized that while some core principles of prompt engineering remain, the models have significantly improved. This has made clarity in instructions more vital than ever, allowing for better AI-generated results.
Innovative Approaches in Image and Video Generation: Beth highlighted the advancements in AI's capabilities for generating images and videos, stressing the importance of understanding specific languages and providing examples to achieve desired outcomes.
Leveraging AI's Analysis Abilities: The discussion included insights on how new model capabilities in analyzing tasks and providing detailed outputs have fundamentally changed how prompts can be structured for research and problem-solving.
Impact of Enhanced Search Features: Brian noted the substantial improvements in search capabilities within ChatGPT, which now allow for broader and more comprehensive data gathering without needing to specify multiple URLs, streamlining the research process for users.
Testing and Iterative Improvement: The episode encouraged users to start prompting from their current skill level, iterate, seek model help for prompt refinement, and use multiple tools to overcome challenges, ultimately enhancing their expertise and outcomes.
#AI, #PromptEngineering, #ImageGeneration, #AIVideo, #ChatGPT
Episode Breakdown:
00:00:00 🎬 Intro & Topic Overview
00:00:33 👋 Welcome & 2025 Prompting
00:01:57 🤔 Continuous Prompting Principles
00:03:23 🎨 Image & Video Prompting
00:04:13 ✨ Clarity & Concise Instructions
00:06:49 🗣️ Specific Language in Prompts
00:09:39 📝 Starting Simple vs. Specific
00:12:02 🧐 Understanding Prompt Weight
00:13:50 🛠️ LLMs for Prompt Improvement
00:15:34 🎯 Intent & Desired Outcomes
00:17:46 🔎 ChatGPT Search Enhancements
00:21:44 🤔 Prompt vs. Instructions
00:24:14 🗣️ Conversational AI & Prompting
00:29:05 🚀 Future of Prompt Engineering
00:31:53 🙌 Hands-on Prompting & Iteration
00:35:29 🧐 Analysis & Chain of Thought
00:37:10 🔄 Switching Models ("The Punt")
00:39:11 🤖 Prompt Engineering & LLMs
00:41:02 💻 Artifacts & Canvas: New Tools
00:44:17 🖼️ Image & Video Prompting Techniques
00:48:33 🐶 Video Example: Detailed Prompts
00:50:57 ✨ Rapid Fire Prompting Tips
00:55:17 💡 Simplifying & Chaining Prompts
00:57:20 ✅ Avoiding Ambiguity & Prioritization
00:58:19 👋 Wrap Up & Future Shows
In today's episode of the Daily AI Show, Brian, Beth, and Andy discussed the evolving art of prompt engineering in AI for 2025. They focused on the importance of clear instructions, the growing capabilities of AI models in various applications like image and video generation, and the need to adapt prompting techniques with advancements in technology to achieve desired outcomes effectively.
Key Points Discussed:
Continuous Improvement in Prompting: The hosts emphasized that while some core principles of prompt engineering remain, the models have significantly improved. This has made clarity in instructions more vital than ever, allowing for better AI-generated results.
Innovative Approaches in Image and Video Generation: Beth highlighted the advancements in AI's capabilities for generating images and videos, stressing the importance of understanding specific languages and providing examples to achieve desired outcomes.
Leveraging AI's Analysis Abilities: The discussion included insights on how new model capabilities in analyzing tasks and providing detailed outputs have fundamentally changed how prompts can be structured for research and problem-solving.
Impact of Enhanced Search Features: Brian noted the substantial improvements in search capabilities within ChatGPT, which now allow for broader and more comprehensive data gathering without needing to specify multiple URLs, streamlining the research process for users.
Testing and Iterative Improvement: The episode encouraged users to start prompting from their current skill level, iterate, seek model help for prompt refinement, and use multiple tools to overcome challenges, ultimately enhancing their expertise and outcomes.
#AI, #PromptEngineering, #ImageGeneration, #AIVideo, #ChatGPT
Episode Breakdown:
00:00:00 🎬 Intro & Topic Overview
00:00:33 👋 Welcome & 2025 Prompting
00:01:57 🤔 Continuous Prompting Principles
00:03:23 🎨 Image & Video Prompting
00:04:13 ✨ Clarity & Concise Instructions
00:06:49 🗣️ Specific Language in Prompts
00:09:39 📝 Starting Simple vs. Specific
00:12:02 🧐 Understanding Prompt Weight
00:13:50 🛠️ LLMs for Prompt Improvement
00:15:34 🎯 Intent & Desired Outcomes
00:17:46 🔎 ChatGPT Search Enhancements
00:21:44 🤔 Prompt vs. Instructions
00:24:14 🗣️ Conversational AI & Prompting
00:29:05 🚀 Future of Prompt Engineering
00:31:53 🙌 Hands-on Prompting & Iteration
00:35:29 🧐 Analysis & Chain of Thought
00:37:10 🔄 Switching Models ("The Punt")
00:39:11 🤖 Prompt Engineering & LLMs
00:41:02 💻 Artifacts & Canvas: New Tools
00:44:17 🖼️ Image & Video Prompting Techniques
00:48:33 🐶 Video Example: Detailed Prompts
00:50:57 ✨ Rapid Fire Prompting Tips
00:55:17 💡 Simplifying & Chaining Prompts
00:57:20 ✅ Avoiding Ambiguity & Prioritization
00:58:19 👋 Wrap Up & Future Shows
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