Benchmarks de IA agente: Rendimiento de agentes y LLM
Agentic AI includes agents that execute complex tasks with minimal human supervision. We evaluated the most popular AI agents and the performance of popular LLMs on different benchmarks to find the best agent-model combination that you will need.
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40+ Agentic AI Use Cases with Real-life Examples
Autonomous generative AI agents execute complex tasks with little or no human supervision. Agentic AI differs from chatbots and co-pilots. Unlike traditional AI, particularly generative AI, which often requires human intervention in complex workflows, agentic AI aims to autonomously navigate and optimize processes thanks to its decision-making capabilities and goal-directed behavior. AI agents serve as:…
AIM Agentic Marketing Benchmark
We are introducing the AIM Agentic Marketing Benchmark, which measures agent performance on three marketing workflows: competitive gap analysis, ABM target list preparation, and a personalized sales deck. We tested the performance of 11 models across three real-life tasks and measured end-to-end execution performance: The task scores are normalized to a 0–100 scale. The overall…
AI VC Benchmark: 11 AI Agents on Venture Capital Tasks
Partnering with early stage VCs, we converted two analyst workflows into benchmarks with human-verified ground truth and scored 11 AI agents on them. See the tasks, results and the scoring method: Each of the 11 models ran each task once. Scores are out of 100. Kimi K3 produced no scorable deal-sourcing run and is recorded…