¡Cómo usar CHATGPT GRATIS paso a paso! 🚀 Curso COMPLETO ChatGPT 2024

This paragraph introduces a comprehensive course designed to take learners from beginner to expert in using the free version of Chat GPT. The course promises to teach how to generate high-quality texts like summaries, essays, articles, social media posts, and emails. It includes step-by-step guidance, theoretical knowledge, concrete examples, and resources to expand the capabilities of Chat GPT.

This section discusses the basics of interacting with language model-based tools, focusing on the free version of Chat GPT (GPT 3.5 Turbo). It explains how this version can help users understand essential aspects of language models and prepare them for more advanced versions like GPT-4. The paragraph emphasizes understanding model functions, limitations, and effective ways to utilize Chat GPT in daily activities.

The paragraph elaborates on what will be covered in the first video of the course. It includes an overview of GPT, the concept of language models, their interface and functions, and how to manage the information input and output. It also covers advanced features like custom instructions, evaluating model capabilities, understanding limitations, and efficient application strategies.

This section covers the primary uses of Chat GPT, emphasizing language processing over information sourcing. It discusses various applications such as text writing, transforming text formats, learning support, and brainstorming processes. The paragraph also outlines strategies for immediate application of Chat GPT and how it benefits both free and paid users.

The paragraph explains key concepts for effective interaction with Chat GPT, including the context window, hallucinations, training dataset influences, and variability in behavior due to model adjustments. It emphasizes the importance of understanding these elements to use Chat GPT effectively and efficiently.

This section introduces prompt engineering, focusing on foundational strategies like zero-shot prompting, few-shot prompting, chain of thoughts, and sequencing. It explains how to structure prompts to get better results from Chat GPT, using examples to illustrate each concept.

The paragraph discusses enhancing Chat GPT's capabilities using native tools like custom instructions and external tools like Chrome extensions. It also touches on leveraging the Windows interface for voice dictation and using various extensions to expand Chat GPT's functionalities.

This section compares Chat GPT with other free language generation tools like Gemini, Copilot, Hugin Chat, Perplexity, Claude, Poe, and YPT. It emphasizes that while learning to use Chat GPT, the skills acquired can be applied to other similar tools, making it easier to transition between different models.

The paragraph details the different types of prompts: context internal prompts, context external prompts, operational prompts, and result prompts. It explains how to use these prompts effectively to guide Chat GPT in generating the desired outcomes. The section includes examples to illustrate the practical application of each prompt type.

This section covers the various response formats that Chat GPT can generate, including formatted text, lists, tables, and code. It highlights how to utilize these formats to structure processes productively and provides examples to demonstrate each format's application.

The paragraph summarizes the key prompting strategies discussed in the course, emphasizing the importance of well-structured, clear, and specific prompts. It also touches on the value of understanding and applying different prompt types to achieve consistent and high-quality results.

This section introduces advanced prompt engineering strategies, focusing on leveraging the latent space of conversations and using custom instructions to bypass character limits. It provides examples of how to apply these advanced techniques for more complex and detailed instructions.

The paragraph discusses extending Chat GPT's functionalities using additional tools and techniques. It covers integrating Chrome extensions, utilizing system interface features, and employing advanced custom instructions to enhance Chat GPT's capabilities and efficiency in various applications.

This section emphasizes optimizing Chat GPT for productivity by leveraging different response formats and employing advanced prompt engineering techniques. It highlights the benefits of using structured prompts and external tools to streamline workflows and achieve more efficient results.

The paragraph explains how to use custom instructions and advanced prompts to tailor Chat GPT's behavior for specific tasks. It provides practical examples of implementing these techniques to enhance the model's performance and output quality.

This section provides a practical example of using prompt engineering to write an essay. It demonstrates how to sequence prompts, validate intermediate results, and guide Chat GPT to produce a well-structured and coherent final output.

The paragraph covers the importance of writing structured prompts with clear context and detailed instructions. It emphasizes using tags and markers to define key information and maintain consistency in responses, providing examples to illustrate effective prompt structuring.

This section categorizes prompts into context internal, context external, operational, and result prompts. It explains each type's purpose and application, illustrating with examples how to use them to guide Chat GPT effectively.

The paragraph emphasizes the use of tags and markers in prompts to structure information hierarchically and ensure Chat GPT's responses are consistent and coherent. It provides examples to demonstrate how these techniques improve the quality and reliability of generated content.

This section details the different formats Chat GPT can use to respond, including text, lists, tables, and code. It explains how to leverage these formats for various applications, providing practical examples to illustrate their use.

The paragraph provides comprehensive prompt examples from a repository, offering a base for creating and improving prompts for various use cases. It includes translated examples and practical applications to help users experiment with Chat GPT more effectively.

This final section summarizes the course, emphasizing the importance of mastering prompt writing and utilizing advanced techniques to expand Chat GPT's capabilities. It encourages continued learning and exploration of AI tools through the provided resources and additional learning opportunities.