🎓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.
Video description

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