ChatGPT has gotten WORSE. Here's why and how to fix it
TLDRThe video discusses the perceived decline in the quality of ChatGPT outputs. The creator hypothesizes that the issue stems from the increasing length and complexity of the system prompts, which may overshadow user inputs. To address this, they suggest using the OpenAI Developer Platform for greater control over outputs and potentially better results. They also recommend considering alternatives like ChatGPT Classic for text-only needs.
Takeaways
- 📉 The creator of the video expresses dissatisfaction with the recent performance of ChatGPT, feeling it has deteriorated over time.
- 🤖 The video discusses a theory that the 'order of importance' in the prompts might be affecting the quality of ChatGPT's responses, with earlier instructions being prioritized over later ones.
- 📈 The video suggests that the increasing length and complexity of the system prompts given to ChatGPT by OpenAI might be causing it to perform worse, as they take up character limits and restrict user control.
- 🛠️ The video provides alternatives to using ChatGPT, such as the OpenAI Developer Platform, which offers more control over the outputs and potentially better performance.
- 🌐 The OpenAI playground is introduced as a tool that allows for more direct interaction with the GPT models without the overhead of system prompts.
- 💡 The video highlights the cost-effectiveness of using the OpenAI playground instead of the ChatGPT Plus subscription, especially for users who generate a lot of text.
- 🚫 The playground interface has limitations, such as the inability to generate images or use certain features like Dolly 3, which are available in the ChatGPT Plus subscription.
- 📚 The video mentions 'ChatGPT Classic' as an alternative for users who prefer the latest version of GPT-4 without additional capabilities, which might provide better text generation performance.
- 📊 The video discusses the potential benefits of using the API for long-term and heavy users of ChatGPT, such as more control and the ability to build custom tools.
- 🔍 The video promises a future tutorial on how to use the OpenAI playground and API effectively to maximize the capabilities of GPT models.
Q & A
What is the main issue discussed in the video?
-The main issue discussed is the perceived decline in the quality and effectiveness of ChatGPT outputs, and the video aims to explain why this might be happening and how to improve it.
What is the 'order of importance' concept mentioned in the video?
-The 'order of importance' refers to the idea that the earlier an instruction appears in the prompt, the more weight it carries in determining the output generated by ChatGPT. This means that instructions at the beginning of the prompt are considered more important than those at the end.
Why do some users think ChatGPT is getting worse?
-Some users believe that ChatGPT is getting worse because OpenAI continues to add more restrictive layers to the system prompt, which reduces the control users have over the outputs and makes custom GPTs less effective.
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 utilize various OpenAI models, including ChatGPT, through an API. It provides more control over the outputs by allowing users to adjust settings such as maximum output length and by removing the system prompt that may be hindering the quality of responses.
How does the pricing work on the OpenAI Developer Platform?
-The pricing on the OpenAI Developer Platform is based on the inputs and outputs generated by the API. Users are charged based on the number of tokens (approximately words) they use, which can be more cost-effective than a subscription model like ChatGPT Plus.
What are the benefits of using the playground interface on the OpenAI Developer Platform?
-The playground interface provides a cleaner, less restrictive environment for using ChatGPT without system prompts or message limits. It also allows for more control over outputs, and can be more cost-effective for users who don't require additional capabilities like Dolly 3 or image generation.
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 doesn't have a clouded system prompt, making it suitable for text-based tasks such as writing articles, ebooks, or scripts.
How can the Assistant API be used to enhance ChatGPT functionality?
-The Assistant API allows users to create custom GPTs with additional functions, code interpreters, knowledge base retrieval, and file handling using their own API key. This provides a high level of control and flexibility, enabling users to build their own tools and applications.
What is the author's recommendation for users who want to optimize their use of ChatGPT?
-The author recommends using the OpenAI Developer Platform's playground interface and the Assistant API for greater control and cost-effectiveness, especially for users who are primarily interested in text generation rather than image creation or other advanced features.
What is the potential downside of using the playground interface?
-The main downside of using the playground interface is the lack of capabilities for generating images and using Dolly 3 within the interface. Users would need to create their own tools for these tasks, which may be a deterrent for some.
How does the video propose to address the problem of ChatGPT's declining performance?
-The video proposes using the OpenAI Developer Platform's playground interface and ChatGPT Classic for cleaner, less restricted outputs, and suggests exploring the Assistant API for more advanced customization and control over ChatGPT functionality.
Outlines
🤖 Introduction to Chat GPT Issues and Solutions
The paragraph discusses the common problems users face with Chat GPT, such as unresponsiveness and deteriorating output quality. The speaker introduces a video aimed at addressing these issues, offering a story, theory, examples, and alternatives to improve user experience. The speaker's experience with creating a custom GPT for newsletter content, despite following guidelines and providing examples, resulted in only partial success. This leads to an exploration of why custom GPTs might be underperforming.
📚 Deep Dive into Custom GPT Prompts
This section delves into the complexity of custom GPT prompts, highlighting the lengthy and restrictive system prompts that may hinder performance. The speaker hypothesizes that the order of importance in the prompts affects the output, with earlier instructions being prioritized more. They suggest that the accumulation of system, custom, and user inputs creates layers that reduce the likelihood of desired outputs. The speaker also shares their findings from using the OpenAI developer platform and its potential for better control and cost-effectiveness.
🛠️ Exploring the OpenAI Developer Platform and Alternatives
The speaker shares their experience with the OpenAI developer platform, specifically the playground feature, which allows for greater control over GPT outputs. They discuss the benefits of using the API version of GPT, such as reduced system prompt influence, cost-effectiveness, and lack of message limits. The speaker also mentions the limitations, such as the inability to generate images and the high cost associated with Dolly 3 API usage. They suggest using the playground for text generation needs and provide a cost comparison between the Chat GPT Plus subscription and the API usage.
🌟 Introducing Chat GPT Classic and Upcoming Tutorials
In the final paragraph, the speaker introduces Chat GPT Classic, a version of GPT 4 without additional capabilities, which results in less restrictive prompts. They mention the positive feedback this version has received for text generation tasks. The speaker also promises an upcoming tutorial on using the playground and the Assistant API, which offers even more functionalities. They conclude by expressing their preference for the playground and Assistant API for their projects, citing the benefits of total control and cost savings.
Mindmap
Keywords
💡Chat GPT
💡Order of Importance
💡Custom GPT
💡OpenAI Developer Platform
💡System Prompt
💡Output Quality
💡API
💡Playground
💡Chat GPT Classic
💡Dolly 3
💡Community Standards and Policies
Highlights
The video discusses the perceived decline in quality of ChatGPT outputs.
The creator shares a personal story about their experience with ChatGPT's declining performance.
The concept of 'order of importance' is introduced as a factor affecting ChatGPT's output quality.
Two effective alternatives to improve ChatGPT outputs are suggested.
An optional, more complex alternative is also proposed for better ChatGPT performance.
The video promises to help viewers regain their love for ChatGPT through these methods.
The creator's attempt to customize ChatGPT for newsletter content is described.
Despite proper formatting and examples, the custom GPT only works half the time.
Reddit threads are cited as evidence of a widespread perception of ChatGPT's decline.
The complexity of the system prompt for custom GPTs is discussed as a potential reason for their ineffectiveness.
The video suggests that OpenAI's continuous additions to the ChatGPT prompt may be making it more restrictive.
The importance of the order of instructions in the prompt for determining output quality is highlighted.
The OpenAI developer platform is introduced as a tool for gaining more control over ChatGPT outputs.
Adjusting the maximum output length is presented as a way to tailor ChatGPT responses.
The video provides a method to access a version of ChatGPT without a restrictive system prompt.
The internal rules and guidelines of GPT-4 are revealed through a specific prompt.
The pricing model and cost-effectiveness of using the playground versus ChatGPT Plus are analyzed.
The limitations of the playground interface, such as the inability to generate images, are discussed.
ChatGPT Classic is introduced as a lightweight version of GPT-4 suitable for text generation tasks.
The video concludes with the creator's intention to use the playground and API for greater control and customization.