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Tech Intersection 🔀 Although very different in scope, #AIAgents can be combined with #LLMs to create a super app like our #DeltaV 🤖 This means objectives, insights, and requests can become human-executable through prompting and no need for coding knowledge.

Training and Learning 📚 LLMs learn from massive text data, excelling in human-like text generation AI Agents might use #MachineLearning and can evaluate live data, but are more about action and response to their environments

Application Scope 🔍 #AI Agents have a broader range, from smart devices and live data monitoring, to autonomous vehicles, requiring real-time decision-making. They can also represent people or devices LLMs shine in language-based applications like chatbots and content creation

Decision-Making 🧠 AI Agents make choices based on set criteria using memory to improve their decisions, often in dynamic environments LLMs? They're about choosing the correct language responses based on their training and the prompts provided

AI Agents are all about autonomy and interaction. They make decisions, negotiate with other Agents, and interact independently on your behalf🌐 While skilled in language, LLMs don't inherently act or decide beyond language tasks. They are limited to pre-exposed knowledge.