PLACEHOLDERS - CHAT GPT

PLACEHOLDERS - CHAT GPT

Introduction and Importance of Placeholders

In this section, the speaker introduces the concept of placeholders and their importance in conversations. Placeholders are variables that store information throughout a conversation.

Placeholder Basics

  • Placeholders are used to store values that can be accessed throughout a conversation. They act as variables.
  • To create a placeholder, use curly braces or brackets and assign it a value.
  • Example: Create a placeholder called "name" with the value "sandeco".
  • ChatGPT confirms the successful creation of the placeholder with the assigned value.
  • The content of a placeholder can be displayed by referencing its name.
  • Example: Displaying the content of the "name" placeholder will show "sandeco".

Modifying Placeholder Content

  • Placeholder content can be modified by assigning new values to it.
  • By adding new content to an existing placeholder, it replaces the previous value.
  • Example: Adding "macedo" to the existing "name" placeholder will update its content to "sandeco macedo".
  • The updated content can be displayed by referencing the name of the placeholder.

Loading Profiles into Placeholders

This section explains how profiles can be loaded into placeholders, allowing for shared information between different profiles.

Loading Profiles

  • Profiles can be loaded into placeholders using tags as delimiters.
  • Tags help identify where specific information is stored within a profile.
  • An example is given where corrections made by a text corrector are stored in a placeholder called "correction".
  • Loading profiles into placeholders becomes useful when multiple profiles analyze common information.

Practical Application with ChatGPT

The speaker demonstrates how to apply placeholders in ChatGPT and utilize them for text corrections.

Using Placeholders in ChatGPT

  • The speaker tests the concept by using ChatGPT to correct a given text.
  • The corrections made by ChatGPT are stored in the "correction" placeholder.
  • The content of the "correction" placeholder can be displayed to show the corrected text.

Loading Profiles into GPT Models

This section explores loading profiles into GPT models, allowing for customized responses based on specific profiles.

Loading Profiles into GPT Models

  • Profiles can be loaded into GPT models by creating a TXT file containing the profile information.
  • The loading instruction is added to the GPT model's instructions, enabling it to access and utilize the loaded profile.
  • Multiple profiles can be included in the TXT file, each with its own tag and corresponding placeholder name.
  • By updating the profile information and testing it with ChatGPT, customized responses based on specific profiles can be achieved.

Loading and Protecting Profiles

The speaker explains the process of loading profiles and protecting them over time.

  • Profiles can be loaded into a system, leaving out only the text related to brokers.
  • The speaker has already tested this process successfully.
  • Multiple profiles can be loaded and protected in the system.

Updating and Testing Profiles

The speaker discusses updating profiles and testing them.

  • When updating, the changes are saved in a specific location for testing purposes.
  • The speaker demonstrates how to test a profile by loading it into the system.
  • Instructions for updating are not visible externally but are contained within the profile.

Organizing Instructions

The importance of organizing instructions is emphasized.

  • All instructions are contained within the profile, making it easier to manage information.
  • It is suggested to separate profiles and loading commands into different files for better organization.
  • Organizing information using a Play Store-like structure is beneficial for clarity and understanding.

Benefits of Using Play Store

The benefits of using a Play Store-like structure for organizing information are explained.

  • Storing all information as text within instructions can become overwhelming and difficult to comprehend over time.
  • Utilizing a Play Store allows for better organization of information.
  • This approach helps with programming GPT systems effectively.

This summary provides an overview of key points discussed in the transcript. For more detailed information, please refer to the corresponding timestamps.

Video description

Quer o Prompt? Tá com dúvida? Vem para nosso grupo de suporte sobre Prompts, GPTs e Agentes que nós vamos te ajudar: https://bit.ly/sandeco-suporte-GPTs-Agentes Universo dos placeholders, explorando como eles podem transformar interações simples em experiências altamente personalizadas e eficazes. Seja você um desenvolvedor, um entusiasta de PLN, ou simplesmente alguém interessado em entender como a tecnologia de linguagem funciona, este vídeo é para você English "In this video, we will dive into the world of placeholders, exploring how they can transform simple interactions into highly personalized and effective experiences. Whether you're a developer, a NLP enthusiast, or just someone interested in understanding how language technology works, this video is for you." Español "En este video, vamos a sumergirnos en el universo de los placeholders, explorando cómo pueden transformar interacciones simples en experiencias altamente personalizadas y efectivas. Ya seas un desarrollador, un entusiasta del PLN, o simplemente alguien interesado en entender cómo funciona la tecnología del lenguaje, este video es para ti." Italiano "In questo video, ci immergeremo nel mondo dei placeholders, esplorando come possono trasformare interazioni semplici in esperienze altamente personalizzate ed efficaci. Che tu sia uno sviluppatore, un appassionato di PLN, o semplicemente qualcuno interessato a capire come funziona la tecnologia del linguaggio, questo video è per te." 中文(简体) "在这个视频中,我们将深入探讨占位符的世界,探索它们如何将简单的交互转化为高度个性化和有效的体验。无论你是开发者、自然语言处理爱好者,还是仅仅对了解语言技术的运作感兴趣的人,这个视频都适合你。" Русский "В этом видео мы погрузимся в мир плейсхолдеров, исследуя, как они могут превратить простые взаимодействия в высокоперсонализированные и эффективные переживания. Будь вы разработчиком, энтузиастом обработки естественного языка или просто кем-то, кто заинтересован в понимании работы технологии языка, этот видео для вас." Français "Dans cette vidéo, nous allons plonger dans l'univers des placeholders, explorant comment ils peuvent transformer des interactions simples en expériences hautement personnalisées et efficaces. Que vous soyez un développeur, un passionné de TALN, ou simplement quelqu'un intéressé par la compréhension du fonctionnement de la technologie du langage, cette vidéo est pour vous." 00:00 - Introduction to the Topic. 00:30 - Reducing Hallucinations in LLMs and LMMs 01:01 - Creation and Use of Placeholders 02:14 - Manipulating Content in Placeholders 02:50 - Loading Profiles into Placeholders 04:03 - Practical Use of Profiles in GPTs 05:09 - Displaying Placeholder Content 06:06 - Maintaining Information in Conversations 07:01 - Creating New Profiles for GPTs 08:03 - Practical Applications of Loaded Profiles 09:01 - Organization and Management of Profiles 10:09 - Conclusion and Farewell