🎓CURSO PROMPT ENGINEERING  en Español - GRATIS - 🤖CLASE 06- ZERO SHOT, ONE-SHOT, FEW-SHOT PROMPTING

🎓CURSO PROMPT ENGINEERING en Español - GRATIS - 🤖CLASE 06- ZERO SHOT, ONE-SHOT, FEW-SHOT PROMPTING

How to Train AI Models for Specific Tasks

Introduction to AI Training Techniques

  • Joaquín Barberá introduces the session, focusing on training AI models for specific tasks using labeled examples.
  • The concept of "Zero-Shot Learning" and "One-Shot Learning" is introduced, emphasizing how these methods allow AI to provide more accurate responses based on learned patterns.

Understanding Zero-Shot and One-Shot Learning

  • Zero-Shot Learning: The model performs tasks without any prior training or labeled examples.
  • One-Shot Learning: Involves providing a single labeled example for the model to learn from.
  • Few-Shot Learning: Multiple labeled examples are provided, allowing the model to learn more complex tasks effectively.

Practical Examples of Model Training

  • An example is given where a decimal number needs decomposition into units. A zero-shot approach struggles without prior training.
  • Using one-shot learning, an example is provided that successfully trains the model to decompose numbers as desired.

Modifying Sentence Structure with AI

  • Joaquín discusses changing sentence structures by specifying time, place, and passive voice in responses.
  • He demonstrates this with multiple examples where the model learns from patterns rather than explicit instructions.

Combining Techniques for Enhanced Problem Solving

  • The discussion shifts towards combining one-shot learning with step-by-step problem-solving approaches (Chain of Thought).

Response of the Model

Training and Problem Solving

  • The model has been trained with specific operations, demonstrating its ability to solve mathematical problems effectively.
  • An example problem presented includes a series of operations: 8 + 8 - 2 + 1 and 8 + 8 - 3, leading to a correct result of 13.
  • The instructor highlights that the model accurately resolves the exercise, showcasing its training effectiveness.
  • Engagement is encouraged from viewers, inviting them to leave comments about their enjoyment of the class.

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En esta clase del CURSO PROMPT ENGINEERING para I.A. de TEXTO continuamos con los tipos de prompt: Vamos a explicar los ZERO-SHOT Prompt, ONE-SHOT Prompt y FEW-SHOT Prompt. De lo que se trata es de entrenar al modelo de texto en el prompt, aportándole ejemplos etiquetados, para que extraiga patrones y caracterísitcas y de una respuesta más alineada a lo que nosotros queremos. #promptengineering #inteligenciaartificial #cursodepromptengineering 👉📧 PEDIR INFORMACIÓN SOBRE MIS SERVICIOS: joaquin@horizonweb.es ☑️👉 Mi academia de IA. https://formaia.com ☑️👉 DESCARGAR GRATIS GUÍA HERRAMIENTAS DE INTELIGENCIA ARTIFICIAL https://horizonweb.ipzmarketing.com/f/pMnfmSkOgY0 PROXIMA CLASE: https://youtu.be/8XJLtKqOrBw