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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.
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
00:00:00 π¬ Intro & Topic Overview00:00:33 π Welcome & 2025 Prompting00:01:57 π€ Continuous Prompting Principles00:03:23 π¨ Image & Video Prompting00:04:13 β¨ Clarity & Concise Instructions00:06:49 π£οΈ Specific Language in Prompts00:09:39 π Starting Simple vs. Specific00:12:02 π§ Understanding Prompt Weight00:13:50 π οΈ LLMs for Prompt Improvement00:15:34 π― Intent & Desired Outcomes00:17:46 π ChatGPT Search Enhancements00:21:44 π€ Prompt vs. Instructions00:24:14 π£οΈ Conversational AI & Prompting00:29:05 π Future of Prompt Engineering00:31:53 π Hands-on Prompting & Iteration00:35:29 π§ Analysis & Chain of Thought00:37:10 π Switching Models ("The Punt")00:39:11 π€ Prompt Engineering & LLMs00:41:02 π» Artifacts & Canvas: New Tools00:44:17 πΌοΈ Image & Video Prompting Techniques00:48:33 πΆ Video Example: Detailed Prompts00:50:57 β¨ Rapid Fire Prompting Tips00:55:17 π‘ Simplifying & Chaining Prompts00:57:20 β
Avoiding Ambiguity & Prioritization00:58:19 π Wrap Up & Future Shows