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LLMs should be agentic by nature, not wrapped in frameworks

The future of large language models (LLMs) lies in native agency, rather than being encased in agent frameworks. The ultimate LLM will possess inherent agentic capabilities, eliminating the need for external tool managers or wrappers. This approach focuses on building LLMs that can act autonomously without additional layers of abstraction. AI

IMPACT Suggests a paradigm shift in LLM development towards native agency, potentially simplifying AI systems.

RANK_REASON Opinion piece discussing the future architecture of LLMs.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs should be agentic by nature, not wrapped in frameworks

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    The ultimate LLM won't be wrapped in an agent framework. The goal is an LLM that is agentic by nature. No wrappers, no external tool-managers—just native agency

    The ultimate LLM won't be wrapped in an agent framework. The goal is an LLM that is agentic by nature. No wrappers, no external tool-managers—just native agency. # AI # LLM # AGI # AgenticAI # AIagents # AutonomousAgents # MachineLearning # ML # OpenSourceAI