From Pipelines to Self‑Learning: The Rise of Model‑Native Agentic AI
Ever wondered if a computer could plan a trip, use a tool, and remember your preferences—all by itself? Scientists have discovered that the newest wave of artificial intelligence is doing just that.
Instead of relying on separate scripts that tell a language model what to do, today’s AI packs planning, tool‑use, and memory right inside its own brain‑like parameters.
Think of it like a Swiss‑army knife that learns new blades as you use it, rather than swapping parts on a workbench.
This shift is powered by reinforcement learning, a trial‑and‑error method that lets the AI learn from outcomes, not just from static examples.
The result? Smarter assistants that can reason over long projects, interact with apps, and even collaborate with other AIs without a human‑written checklist.
Model‑native agentic AI promises everyday tools that grow smarter the more they work, turning gadgets into true partners in our daily lives.
The future is already learning to think – are you ready to join the conversation?
Read article comprehensive review in Paperium.net:
Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI
🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.
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