ChatGPT has gotten WORSE. Here's why and how to fix it
TLDRThe video discusses the perceived decline in the performance of ChatGPT and offers potential reasons and solutions. The creator hypothesizes that the increasing length and complexity of the system prompts may be hindering the model's effectiveness. They suggest using the OpenAI developer platform for greater control over outputs and explore alternatives like ChatGPT Classic for text generation needs. The video aims to rekindle users' love for ChatGPT by providing practical advice on optimizing its use.
Takeaways
- 📉 The creator of the video expresses dissatisfaction with the declining performance of ChatGPT.
- 🤖 The video aims to diagnose issues with ChatGPT and offer solutions to improve its output quality.
- 📈 The concept of 'order of importance' is introduced, suggesting that earlier instructions in the prompt may hold more weight in determining the output.
- 📚 The video references multiple Reddit threads where users also report a decline in ChatGPT's performance over time.
- 🔍 The video creator hypothesizes that the increasing length and complexity of the system prompts may be hindering the effectiveness of custom GPTs.
- 🛠️ The OpenAI Developer Platform is presented as a tool to access ChatGPT with more control and fewer restrictions.
- 💡 The video highlights the benefits of using the playground interface, including cost-effectiveness and lack of message limits.
- 🚫 The playground interface lacks certain features available in the ChatGPT Plus subscription, such as image generation.
- 📖 'ChatGPT Classic' is introduced as an alternative version of GPT-4 that does not have additional capabilities, potentially offering better text generation performance.
- 🔧 The video concludes by encouraging viewers to explore the playground and assistant API for more control and customization over GPT-4.
Q & A
What is the main issue discussed in the video?
-The main issue discussed in the video is the perceived decline in the quality and effectiveness of ChatGPT outputs and how to address this problem.
What is the 'order of importance' concept mentioned in the video?
-The 'order of importance' refers to the idea that instructions earlier in the prompt are considered more significant when generating outputs, thus influencing the quality and relevance of the response.
How does the speaker attempt to improve the performance of a custom GPT model?
-The speaker attempts to improve the performance of a custom GPT model by providing detailed instructions, examples, and a knowledge base to guide the model in generating content in the desired style and format.
What is the significance of the system prompt in ChatGPT's operation?
-The system prompt is significant as it contains rules and guidelines that the model must follow, which can affect the model's ability to generate desired outputs and may become more restrictive over time.
What is the OpenAI Developer Platform and how can it be used to improve ChatGPT outputs?
-The OpenAI Developer Platform is a service that allows users to access and use various OpenAI models, including ChatGPT, through an API. It provides more control over the outputs and can be a cost-effective alternative to the ChatGPT Plus subscription.
What are the benefits of using the playground interface over the ChatGPT Plus subscription for text generation?
-The playground interface offers more control over the outputs, lacks a restrictive system prompt, and can be more cost-effective, as it charges based on usage rather than a flat monthly fee.
Why might users prefer ChatGPT Plus for certain tasks?
-Users might prefer ChatGPT Plus for tasks that involve generating images with Dolly 3, as the subscription covers the cost of these images, which can be expensive through the API.
What is 'ChatGPT Classic' and how does it differ from other versions?
-ChatGPT Classic is the latest version of GPT-4 without additional capabilities like Vision, browser, or Dolly 3. It is designed for users who primarily need text generation without the need for image creation or other advanced features.
How does the 'Assistance API' differ from custom GPTs?
-The Assistance API is similar to custom GPTs but uses the user's own API key. It allows for the addition of functions, code interpreters, retrieval of a knowledge base, and file handling, offering almost the same capabilities as ChatGPT but with more control and customization.
What is the speaker's recommendation for users who want to get the most out of GPT-4 Turbo?
-The speaker recommends using the playground interface and the Assistance API for users who want to get the most out of GPT-4 Turbo, as these provide greater control and customization options without the limitations of a system prompt.
Outlines
🤖 Introduction to Chat GPT Problems and Solutions
The speaker begins by discussing common issues users face with Chat GPT, such as unresponsiveness and poor output quality. They introduce a video aimed at addressing these problems, sharing a personal story about their experience with creating a custom GPT for newsletter content. The speaker explains the concept of 'order of importance' and promises to provide alternatives to improve Chat GPT outputs.
📚 Deep Dive into Custom GPT Limitations
The speaker delves into the complexities and restrictions of custom GPTs, highlighting the multiple layers of prompts that may hinder their effectiveness. They discuss the system prompts, custom GPT prompts, user instructions, and the potential existence of a secret prompt. The speaker suggests that the order in which instructions are given affects the importance and execution of tasks by the GPT.
🛠️ Exploring the Open AI Developer Platform
The speaker explores the Open AI Developer Platform as an alternative to standard Chat GPT interfaces, detailing its benefits such as reduced system prompts and greater control over outputs. They discuss pricing, output length adjustments, and the absence of message limits, suggesting that the platform can be more cost-effective for users who primarily generate text rather than images.
🌟 Alternative Options for Improved GPT Experience
The speaker presents additional alternatives for enhancing the GPT experience, such as Chat GPT Classic, which lacks additional capabilities and thus has a less restrictive system prompt. They mention an upcoming tutorial for using the playground and the Assistant API, which offers more functionalities and control. The speaker concludes by sharing their preference for using the playground and building custom tools for better GPT performance.
Mindmap
Keywords
💡Chat GPT
💡Order of Importance
💡Custom GPT
💡OpenAI Developer Platform
💡System Prompt
💡API
💡Output Quality
💡User Input
💡Dolly
💡Playground
💡Chat GPT Classic
Highlights
The video discusses the perceived decline in the quality of ChatGPT's outputs.
The creator shares a personal experience with a custom GPT designed for newsletter content.
The concept of 'order of importance' is introduced to explain the potential issue with custom GPTs.
The video presents a theory that the increasing length and complexity of the system prompts may be causing the decline in performance.
The creator attempts to understand why custom GPTs are underperforming by analyzing the system's instructions.
The video suggests that the OpenAI platform may have added more restrictions over time, reducing user control over outputs.
The creator provides an alternative method using the OpenAI developer platform for better control over GPT outputs.
The benefits of using the OpenAI playground for text generation are discussed, including cost-effectiveness and fewer restrictions.
The video compares the pricing models of using the playground versus ChatGPT Plus subscription.
The creator suggests that for text generation needs, the playground can be a more cost-effective and flexible option.
ChatGPT Classic is introduced as a lighter version of GPT 4 without additional capabilities, potentially offering better text generation.
The video promises a future tutorial on how to use the OpenAI playground and Assistant API effectively.
The creator expresses a preference for using the playground and building custom tools for greater control over GPT 4 Turbo.
The video concludes with a recommendation for users to try the playground and Assistant API for improved results with GPT 4.
