Feb 24
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Dive deep into Agentic AI in 2025 and learn how to build autonomous agents that do more than just generate content. In this episode, we cover: The evolution from Generative AI to Agentic AI How autonomous agents think and act using the Input → Think → Action → Observe loop Key concepts: LLMs, SLMs, RAG, Multi-Agent Systems, Human-in-the-Loop Why LangGraph is the production-grade framework for agent workflows Economics: How SLMs make large-scale agent loops cost-effective Hands-on coding: Building a Token Counter agent Advanced implementations with conditional tool calling Production best practices for security, human approval, and workflow management By the end of this video, you’ll understand not just what Agentic AI is, but how to build it and deploy it in production. Subscribe to Deep Wing for more technical deep dives and stay ahead in AI development!