How to Use Agentic AI: LLMs, AI Agents & Prompt Engineering in Action
Por IBM Technology · 27 dic 2025 · 6:32
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Reseña editorial
Cumple a mediasPromesa: Aprender a usar AI agentic y LLMs.
El video aborda el uso de AI agentic y modelos de lenguaje (LLMs) en la ingeniería de prompts, destacando la importancia de descomponer problemas complejos en subtareas manejables. Se sugiere que un flujo de trabajo estructurado puede ser más efectivo que un enfoque de un solo prompt, aunque algunos comentarios cuestionan la necesidad de este enfoque para tareas simples. La comunidad también menciona la posibilidad de que un modelo determinista sea más adecuado en ciertos casos.
Evidencia de la comunidad
“How was this agentic AI? As in "an autonomous agent that can reason, plan, and execute multi-step tasks to achieve a high-level goal"?”
@linowirag8494 · duda
“I was hoping this would be the one but it’s not. It’s all theory and no show.”
@Kurplode · crítica
Tonalidad de comentarios
Actualizado hace 1 díaAnalizado con IA sobre 40 comentarios.
- Positivo
- • 40% positivo
- Neutral
- • 30% neutral
- Negativo
- • 30% negativo
Mejores comentarios
“Please expand this into a series! So much of using AI is thinking through what you actually want and describing it clearly. This was an excellent little case study. 👍”
@RasAlHaq · 6 likessugerencia“This was explained in such a simple manner. Even a non technical person can understand 😊”
@sambose8243 · 8 likesaccesible
Comentarios más duros
“I was very excited about AI for a long time but now I wonder how useful it is. A lot of work for something so simple. I could code this in a python script in 10 mins. I'm hopeful t…”
@hatclint777 · 22 likesduda“This wasn't a very convincing case for agentic AI. A normal LLM can definitely solve this without multiple agents, no issues at all.”
@Tony-dp1rl · 0 likescrítica