Chain-of-Thought Prompting in Agentic AI | Step-by-Step Python Implementation скачать в хорошем качестве

Chain-of-Thought Prompting in Agentic AI | Step-by-Step Python Implementation

#learnwithravindra -------------------------------------------------------------------------------- Unlock the power of advanced AI with Chain of Thought (CoT) prompting in agentic AI systems, implemented with Python! This video demystifies how CoT prompting enhances the reasoning capabilities of Large Language Models (LLMs) and transforms them into intelligent, goal-oriented AI agents. Learn the core concepts behind Chain of Thought prompting, understand what makes an AI agent 'agentic', and see practical, step-by-step examples of how to integrate these powerful techniques using Python. Whether you're an AI developer, data scientist, or just curious about the future of AI, this tutorial provides valuable insights and actionable code. What you'll learn: What Chain of Thought (CoT) prompting is and why it's crucial for complex AI tasks. The principles of agentic AI and how agents leverage CoT for better decision-making. Practical Python implementations to build your own CoT-enabled AI agents. Strategies for enhancing LLM performance and problem-solving. Don't just use AI, understand and build with it! 💡 Ready to dive deeper into AI? Link to your website/other relevant video 🔗 Resources: Link to GitHub repo with code examples Link to relevant research papers/docs 👍 If you found this video helpful, please give it a thumbs up, subscribe for more AI tutorials, and hit the notification bell so you don't miss our next deep dive! #ChainOfThought #CoTPrompting #AgenticAI #AIAgents #PythonAI #LLMs #PromptEngineering #AIDevelopment #MachineLearning #AITutorial Playlist    • What is Few-Shot Prompting? | AI Prompting...      • What is Few-Shot Prompting? | AI Prompting...   -----------------------------------------------------------------------------------------------------