Pros and Cons of ChatGPT Plugin- code interpreter in Education, Biology, and Health

ChatGPT (Chat Generative Pre-trained Transformer) is a big language model-based chatbot created by OpenAI and released on November 30, 2022. It is remarkable for allowing users to tweak and direct a discussion towards a desired duration, structure, style, degree of information, and language utilised. At each dialogue stage, successive prompts and responses, known as prompt engineering, are evaluated as a context.

Which ChatGPT?

ChatGPT is based on GPT-3.5 and GPT-4 models from OpenAI's proprietary series of generative pre-trained transformer (GPT) models, which are based on Google's transformer architecture[3], and it is fine-tuned for conversational applications using a combination of supervised and reinforcement learning techniques.[4] ChatGPT was first offered as a free research preview, but owing to its popularity, OpenAI currently offers the service on a freemium basis. It gives free users access to the GPT-3.5-based version. Paid users, on the other hand, get the more complex GPT-4-based version and priority access to updated features under the commercial brand "ChatGPT Plus."

What exactly is ChatGPT Plugin?

ChatGPT plugins are add-ons that may be used in conjunction with the AI chatbot to expand its capabilities. These may be obtained from the ChatGPT plugins shop. Only a handful are created by OpenAI, with the great majority being created by third-party developers. ChatGPT plugins are only compatible with GPT-4, which allows the chatbot to connect to the internet.

Function of plugins?

The ChatGPT shop has over 80 plugins that perform a variety of activities, such as offering better writing prompts, assisting you in booking flights and local eateries, providing financial advice, and even supplying you with timely links to XKCD cartoons.

Short pits to look for?

ChatGPT clearly fails in a number of aspects. One of them is maths. Because ChatGPT is built on a language model, it excels at everything linguistic. However, if you ask it to compute something like an IP subnet, it will constantly give you the erroneous answer and a wacky explanation for how it arrived at that result.

The plugin only supports Python, and only a handful of its software packages are specialised to bioinformatics. Furthermore, it does not enable access to internet data and does not support working with huge files.

Importance of the plugin?

ChatGPT plugins improve the chatbot experience by giving current, personal, or particular data to the underlying language model that was not included in the model's training data. The LLM's connectivity to real-time data sources, such as databases or online surfing, is intended to assist ChatGPT deliver more accurate and rapid findings. It also enables the chatbot to execute more complicated functions, such as email responses, from inside the ChatGPT interface. Let's divide all of this new capability into categories.

What exactly is ChatGPT Plugin: Data Interpreter

In addition, OpenAI hosts two plugins: a web browser and a code interpreter. OpenAI released the source code for a knowledge base retrieval plugin, which may be self-hosted by any developer with information to supplement ChatGPT.

The newest innovation of OpenAI ChatGPT (particularly with the GPT-4 model) is the Code Interpreter, which enables you to execute Python code in a real working environment. It's essentially a sandboxed Python environment in which you may run Python programmes to do whatever job you want. It may seem to be a function designed for programmers, but it may also assist regular users with a variety of tasks.

The benefits and drawbacks of the ChatGPT plugin, Code Interpreter, in education, biology, and health.

According to Gangqing "Michael" Hu, a professor at West Virginia University (WVU), it's very promising for students.

Hu views the plugin as a low-cost means to make coding more accessible in the domains of science, technology, engineering, and math (STEM).

Making coding more approachable allows students to go further into data analysis and learning.

The missing gaps?

However, the plugin falls short when it comes to specialised scientific activities such as bioinformatics. Bioinformatics is the intersection of biology and computer science, and it is critical for major medical advancements such as tailored cancer therapies.

Hu's team tried Code Interpreter and discovered that it is not yet capable of handling the sophisticated demands of this industry. For example, it only supports Python programming and does not allow internet data access, which is required for downloading big genomic files.

Furthermore, it can only operate with tiny files and does not enable multitasking for huge datasets, making it sluggish for serious study.

Another concern is the absence of privacy and security capabilities, which are crucial for medical research.

Conclusion?

In conclusion, the ChatGPT plug-in offers a blend of advantages and drawbacks that users must consider. On the positive side, it empowers applications with conversational capabilities, enhancing user engagement and functionality. Its versatility and adaptability make it an appealing tool for various industries. However, concerns regarding privacy, potential biases, and the need for fine-tuning are noteworthy cons. As technology evolves, addressing these challenges could pave the way for a more seamless integration of AI language models like ChatGPT, ultimately reshaping the landscape of human-computer interaction.