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IT Services Circle
IT Services Circle
Apr 24, 2026 · Artificial Intelligence

What’s the Real Difference Between LLMs and Agents? What Does an Agent Add?

The article explains that the fundamental gap between LLMs and Agents is state: LLMs perform single, stateless inferences, while Agents maintain execution history, intermediate results, and goal tracking to enable multi‑step, dynamic decision‑making, but this brings uncertainty, higher token costs, and debugging challenges.

AgentArtificial IntelligenceLLM
0 likes · 14 min read
What’s the Real Difference Between LLMs and Agents? What Does an Agent Add?
Wu Shixiong's Large Model Academy
Wu Shixiong's Large Model Academy
Apr 20, 2026 · Artificial Intelligence

How to Build Multi‑Step Reasoning Training Data for Deep Research Agents

Standard QA datasets fall short for deep research tasks because they lack the multi‑step, dynamic reasoning required; this article explains why, outlines four data‑construction techniques—SailorFog‑QA, WebFrontier, WebShaper, E2HQA—details trajectory sampling, filtering, scale considerations, and interview‑ready explanations.

AI agentsLLM trainingMulti-step Reasoning
0 likes · 16 min read
How to Build Multi‑Step Reasoning Training Data for Deep Research Agents