冷不丁!3个疯狂定制GPT将震撼你的思维!
Table of Contents
- Introduction
- Mixed Feelings about GPTS
- The Limitations of GBDs
- The Importance of Data in GBDs
- The Concept of a Blog Title GBD
- Developing Custom GBDs
- Three GBD Examples
- The Content Gap GBD
- The LSI Extractor GBD
- The News Galore GBD
- Alternative to NE Writer for AI Keyword Extraction
- Conclusion
Introduction
In this article, we will be discussing the use of GPTs (Generative Pre-trained Transformers) and GBDs (GPT-Based chatbot models) by Worscale. We will explore the writer's mixed feelings about these technologies and their limitations, particularly when it comes to not being able to connect APIs without programming knowledge. We will also Delve into the importance of data in GBDs and the concept of a Blog Title GBD. Furthermore, we will showcase three GBD examples created by the writer, namely the Content Gap GBD, the LSI Extractor GBD, and the News Galore GBD. Finally, we will discuss an alternative to NE Writer for AI keyword extraction and conclude with key takeaways from the article.
Mixed Feelings about GPTs
The writer begins by expressing their mixed feelings about GPTs. As a non-programmer, they acknowledge that they cannot fully benefit from the ability to connect APIs, which can be a limitation for their specific use cases. However, they highlight their excitement about the potential of GBDs and their hope of seeing plugins integrated into the GBDs. The writer explains that many of their central operational procedures involve parts in YouTube and the use of web pilots and other plugins. They express disappointment that GBDs currently lack the functionality to use these plugins effectively.
The Limitations of GBDs
The writer elaborates on the limitations of GBDs, specifically focusing on their inability to handle plugins. They emphasize that GBDs can currently only handle browse dolly and code interpreter, creating a restriction in their functionality for certain use cases. The writer laments this limitation as it hampers their ability to leverage plugins in their workflows and operational procedures. They believe that integrating plugins into GBDs would enhance their usefulness for a wide range of tasks.
The Importance of Data in GBDs
The writer emphasizes the importance of data in GBDs for achieving the best quality results. They assert that GBDs based on data, rather than pure automation, are the most effective. To illustrate this point, they introduce the concept of a Blog Title GBD. This GBD is fed with extensive information about what constitutes a perfect blog title, including golden standards such as using columns, parentheses, and odd numbers. The writer believes that GBDs based on custom data, like the Blog Title GBD, have a significant AdVantage over purely automated ones.
The Concept of a Blog Title GBD
The writer dives deeper into the concept of the Blog Title GBD. They further explain that the Blog Title GBD evaluates and analyzes an article to identify content gaps. By entering the target URL of the article, the GBD assesses and evaluates the content based on its quality, not just from an SEO perspective but also in terms of providing helpful information. The writer showcases an example where the Blog Title GBD assesses an article about feeding longan to dogs. The GBD suggests areas that could be expanded upon or included to enhance the article's comprehensiveness, such as a detailed breakdown of the nutritional content of longan, a comparison with similar fruits, case studies or veterinary opinions, and a list of alternative safe fruits or treats for dogs. The writer highlights the effectiveness of this GBD in evaluating content from a human eye standpoint.
Developing Custom GBDs
The writer explains the process of developing custom GBDs. They instruct the reader to press the plus sign in the GBD interface to Create a new GBD. They Outline the steps of naming the GBD, providing a short description, adding custom instructions, and using conversation starters to initiate the process. The writer also mentions the option to activate or deactivate features such as web browsing, dolly encoding, and interpreting code. They underline the flexibility of GBDs, allowing users to tailor them to their specific needs.
Three GBD Examples
The writer presents three GBD examples they have developed and tested.
The Content Gap GBD
The first example is the "Content Gap" GBD. This GBD analyzes an article and identifies content gaps. By entering the target URL, users can evaluate the content objectively based on its quality. The GBD suggests areas that could be expanded upon or included to enhance the article's comprehensiveness.
The LSI Extractor GBD
The Second example is the "LSI Extractor" GBD. This GBD extracts Latent Semantic Indexing (LSI) keywords and entities from top-ranking pages. By entering the seed keyword or URL, users can generate a list of Relevant LSI keywords and entities to improve their content's search engine optimization.
The News Galore GBD
The third example is the "News Galore" GBD. This GBD utilizes browse functionality to find the latest news and articles about a specific topic. It evaluates the viral potential of various news topics and generates a featured image and article based on the most promising topic. The writer demonstrates the process of using the GBD to generate a news article about a recent Distributed Denial of Service (DDOS) attack.
Alternative to NE Writer for AI Keyword Extraction
The writer suggests an alternative to NE Writer for AI keyword extraction. They express that while NE Writer is a great tool, there are viable and sometimes superior free alternatives available for extracting AI keywords. The writer encourages readers to explore these alternatives, especially when the sole purpose is AI keyword extraction.
Conclusion
In conclusion, the writer highlights their mixed feelings about GPTs and GBDs, specifically focusing on the limitations of GBDs and the importance of data in achieving better quality results. They discuss the concept of a Blog Title GBD and showcase three GBD examples they have developed, which are the Content Gap GBD, LSI Extractor GBD, and News Galore GBD. The writer also recommends an alternative to NE Writer for AI keyword extraction. Overall, GPTs and GBDs offer significant potential for various use cases, and further advancements, including integration of plugins, can enhance their effectiveness.