Ready to go beyond basic AI prompts? ???? The field of Prompt Engineering has undergone a dramatic evolution, moving from simple guesswork to sophisticated orchestration!
Join Amy on Retured as we dive into the incredible journey of Prompt Engineering from 2022 to early 2025. Discover the key techniques that transformed how we interact with powerful Large Language Models (LLMs) and unlock their full potential.
In this video, we break down:
✨ The early days: When prompting felt more like hopeful guesswork (Zero-Shot & Few-Shot)
???? Why simple methods weren't enough for complex AI tasks
???? The rise of Orchestration Techniques: How we learned to guide AI's thinking, knowledge, and actions!
Chain-of-Thought (CoT): Guiding step-by-step reasoning
RAG (Retrieval Augmented Generation): Connecting AI to real-world data
ReAct (Reason + Act): Enabling AI to use tools
Structured Prompting: Giving AI clear rules and formats
Automated Prompt Engineering (APE): AI helping us prompt better! ???? Key takeaways from major AI labs & what the future of AI orchestration looks like!
Whether you're an AI enthusiast, a developer, or just curious about how we talk to advanced AI, understanding this evolution is crucial for making AI reliable, powerful, and truly useful.
What part of orchestrating AI excites you the most? Let us know in the comments below! ????
If you found this video helpful and fascinating, please give it a thumbs up! ????
And don't forget to Subscribe to Retured for more insights into AI, technology, and the future! ▶️
#PromptEngineering #AI #LLM #AIEvolution #Orchestration #PromptTechniques #AITrends #2025 #Retured #AmyAI #ArtificialIntelligence #MachineLearning #[Add any other highly specific tags related to techniques if desired, e.g., #ChainOfThought #RAG #ReAct
Join Amy on Retured as we dive into the incredible journey of Prompt Engineering from 2022 to early 2025. Discover the key techniques that transformed how we interact with powerful Large Language Models (LLMs) and unlock their full potential.
In this video, we break down:
✨ The early days: When prompting felt more like hopeful guesswork (Zero-Shot & Few-Shot)
???? Why simple methods weren't enough for complex AI tasks
???? The rise of Orchestration Techniques: How we learned to guide AI's thinking, knowledge, and actions!
Chain-of-Thought (CoT): Guiding step-by-step reasoning
RAG (Retrieval Augmented Generation): Connecting AI to real-world data
ReAct (Reason + Act): Enabling AI to use tools
Structured Prompting: Giving AI clear rules and formats
Automated Prompt Engineering (APE): AI helping us prompt better! ???? Key takeaways from major AI labs & what the future of AI orchestration looks like!
Whether you're an AI enthusiast, a developer, or just curious about how we talk to advanced AI, understanding this evolution is crucial for making AI reliable, powerful, and truly useful.
What part of orchestrating AI excites you the most? Let us know in the comments below! ????
If you found this video helpful and fascinating, please give it a thumbs up! ????
And don't forget to Subscribe to Retured for more insights into AI, technology, and the future! ▶️
#PromptEngineering #AI #LLM #AIEvolution #Orchestration #PromptTechniques #AITrends #2025 #Retured #AmyAI #ArtificialIntelligence #MachineLearning #[Add any other highly specific tags related to techniques if desired, e.g., #ChainOfThought #RAG #ReAct
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- AI prompts
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