From the course: Introduction to Agentic AI in 5G: Smarter Autonomous Networks
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The power combination: Generative and agentic AI
From the course: Introduction to Agentic AI in 5G: Smarter Autonomous Networks
The power combination: Generative and agentic AI
Let's understand that how Generative AI and Agentic AI can create a power combination In A conventional scenario where the engineer types commands like showing the interface and checking the key performance indicators to compare the neighboring cells utilization By adjusting the tilt or threshold, the post-combination of Generative AI and Agentic AI, the engineer would change the complete perspective. He'll simply ask like why is downtown experiencing slow data right now And the AI responds back. In this case that I'm seeing interference between the different cells during particular timeframe And I have adjusted the antenna tilts and parameter to reduce the overlap which has improved the data speeds for users by 40%. Now this is the scenario which we are going to examine where the large language models giving the agents human-like understanding. Here we'll understand that how LLM transformed the agents from script followers to context aware problem solvers. The breakthrough here is…
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Contents
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The 5G building blocks4m 20s
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The 5G architecture meets AI architecture3m 23s
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Bridging worlds: How agents interface with OSS/BSS systems4m 21s
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Why LLMs change everything for network operations4m 56s
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The power combination: Generative and agentic AI4m 13s
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On demand semantic reasoning for fault diagnosis13m 14s
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Specialized vs. general models: Cost-performance tradeoffs3m 52s
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