Curso Avanzado de Prompt Engineering para IA Generativa A-Z

Unleash the Power of AI: Advanced Prompt Engineering Bootcamp

In today's AI-driven landscape, Prompt Engineering is a critical skill for professionals working with Large Language Models (LLMs). Mastering this discipline not only enhances your interaction with LLMs but also unlocks new possibilities for developing advanced applications, boosting model efficiency, and crafting innovative solutions to complex problems.

What you'll learn:

1. Large Language Models (LLMs): Dive deep into the workings of LLMs, their implementation, and how to access specific knowledge using Retrieval-Augmented Generation (RAG). Learn to optimize these models with fine-tuning and deployment strategies for production environments.

2. Accessing & Utilizing Popular LLMs: Explore leading models like ChatGPT and Gemini. Learn to integrate them into your projects via APIs and platforms such as OpenAI and Hugging Face.

3. Prompt Engineering – From Fundamentals to Advanced Techniques:

   • Introduction & Key Concepts: Understand the fundamental principles of Prompt Engineering and its crucial role in LLM effectiveness.
   • LLM Performance Optimization: Apply Prompt Engineering techniques to significantly improve LLM performance on specific tasks.
   • Static Prompts: Prevent inaccurate or hallucinated responses through temperature reduction, priming, and leveraging One-Shot and Few-Shot Prompting with examples.
   • Prompt Templates: Create and utilize prompt templates for more effective LLM interactions, utilizing tools like Awesome Prompt Templates and 1-clickprompt from WebChatGPT.
   • Contextual Prompts: Master guiding models in complex tasks using contextual prompts and tools like LangChain and the OpenAI API.
   • Prompt Chaining: Decompose complex tasks into manageable steps using Chain of Thought, Zero-Shot Chain of Thought, Self Consistency, and Tree of Thought.
   • Advanced Techniques: Explore methods like Tagged Context Prompts, Self-Correct, and integrating external data sources to enhance response accuracy and relevance.

4. Retrieval-Augmented Generation (RAG) Models: Learn to build and optimize RAG models that combine the power of LLMs with access to external databases. Discover how to generate a RAG using tools like OpenAI Custom GPTs and Flowise.

5. Open-Source Models & AI Tools:

   • Hugging Face: Become proficient with Hugging Face, the leading open-source model platform, its applications, and integration with tools like Flowise.
   • Llama 2 & Llama 3: Master Llama 2 and Llama 3, the most advanced open-source models, and learn Zero-Shot and Few-Shot learning techniques, along with Chain-of-Thought and Knowledge Prompting.

6. Intelligent Agents & Automation:

   • Agent Development with LangChain & Flowise: Build agents that interact with their environment and execute tasks automatically. Explore advanced use cases like SQL queries and web searches.
   • Auto-GPT & BabyAGI: Explore the next generation of autonomous agents capable of planning and executing tasks with minimal human intervention.

This course is designed for engineers, developers, data scientists, and any professional looking to advance their Prompt Engineering skills. You'll gain both theoretical knowledge and practical skills applicable to real-world projects.

Enroll now and transform your understanding of Large Language Models with this Advanced Prompt Engineering Bootcamp!