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blocshop
June 15, 2023
0 min read

A Deep Dive into GPT-4 vs GPT-3.5 Differences and Ability to Revolutionize Software Development

gpt4 vs gpt3-5 and the key differnces.png

ChatGPT-3.5 and ChatGPT-4 are both natural language processing (NLP) models developed by OpenAI, but there are some key differences between the two that software developers should be aware of. Let's demonstrate how these differences affect the data processing and output generated by these models on specific examples.

GPT-4 vs GPT-3.5-turbo: the key differences

While GPT-3.5 is a text-to-text model, GPT-4 is more of a data-to-text model. This means that GPT-4 can process more than just text inputs which makes it more suitable for complex tasks. Here are the key differences between the two models:

  1. Model Advancement: GPT-4 is significantly more advanced than GPT-3.5, with a 10 times improvement. This allows it to better understand context and distinguish nuances, leading to more accurate and coherent responses.

  2. Token Limit Increase: GPT-4 has a maximum token limit of 32,000, a substantial increase from GPT-3.5's 4,000 tokens.

  3. Handling of Longer Conversations: GPT-4 can manage longer prompts and conversations than GPT-3.5, making it more suitable for complex dialog systems.

  4. Model Size Comparison: GPT-4, rumored to have 1 trillion parameters, is significantly larger than GPT-3.5, which has 175 billion parameters. This allows GPT-4 to generate more accurate responses.

  5. Contextual Understanding Capability: GPT-4 can answer complex questions by synthesizing information from multiple sources, whereas GPT-3.5 may struggle to connect the dots.

  6. Linguistic Capabilities: GPT-4 can generate more sophisticated and nuanced language than GPT-3.5, making it a more powerful tool for text generation.

  7. Accuracy of Responses: GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5, according to internal evaluations.

  8. Multimodal Input Handling: GPT-4 can handle both text and images, while GPT-3.5 is a text-to-text model, making GPT-4 more versatile in tasks requiring comprehension of longer documents or mixed text and image data.

  9. Cost Comparison: GPT-4 is available through the OpenAI website as part of its ChatGPT Plus subscription, which costs $20 a month, while GPT-3.5 is free to use.

GPT-4 vs GPT-3.5-turbo: A Comparison of outputs

To compare the capabilities of the GPT-4 and GPT-3.5-turbo models, we'll examine their outputs when generating Class Diagrams and Entity Relationship Diagrams using notation of Gleek, the diagramming tool for developers.

Example 1: Generating Class Diagrams

When asked to show a sample online ecommerce website admin panel process, GPT-4 generates a detailed diagram that includes four classes which are then related via inheritance and implementation relationships. The diagram generated by GPT-4 gives a concrete and detailed visual representation of the online eCommerce website admin panel process.

Request: Show me a sample online e-commerce website admin panel process

Response GPT-4: 

Classes (abstract/service/interface/none)

ClassAdminPanel:abstract

    +Username

    +Password

    +Login()

ClassProduct

    +ProductID

    +ProductName

    +Price

    +AddProduct()

    +UpdateProduct()

    +DeleteProduct()

ClassOrder:service

    +OrderID

    +CustomerID

    +OrderStatus

    +ProcessOrder()

ClassCustomer

    +CustomerID

    +CustomerName

    +Email

    +AddCustomer()

    +UpdateCustomer()

    +DeleteCustomer()

 

Relationships

ClassAdminPanel-contains-ClassProduct

ClassAdminPanel-contains-ClassOrder

ClassAdminPanel-contains-ClassCustomer

ClassOrder {1}-has-{1..n} ClassProduct

ClassAdminPanel--*>ClassProduct (inheritance)

ClassProduct-.-*>ClassOrder (implementation)

 

After minor syntax changes (underlined), the generated diagram is following:

gpt4 gleek diagram 01.png

On the other hand, GPT-3.5 was not able to generate a diagram with samples but provided a general idea of what an eCommerce website admin panel process might look like. Instead of a detailed diagram, it describes the key components of the process, including managing products, orders, customers, payments, and integrating with payment gateways and shipping providers.

Response GPT-3.5-turbo:

Sorry, as an AI language model, I am not able to show you a sample online ecommerce website admin panel process.

However, I can provide you with a general idea of what an ecommerce website admin panel process might include.

An ecommerce website admin panel process typically involves managing products, orders, customers, and payments.

The admin panel may include features such as adding/editing products, managing inventory, processing orders, managing customer accounts, and generating reports.

The process may also involve integrating with payment gateways and shipping providers.

Example 2: Generating Entity Relationship Diagrams

When asked to show a company management system, GPT-4 generates a comprehensive diagram that outlines the entities involved in such a system (along with their respective attributes and relationships), respectively: Company, Employee, Department, and Project. The diagram generated by GPT-4 is highly detailed and provides a clear visual representation of the system.

Request: Show me a company management system

Response GPT-4:

Company

    String id

    String name

    String address

    String industry

    Company {1}-contains-{1..n} Employee

    Company {1}-has-{1..n} Department

    Company {1}-undertakes-{1..n} Project

 

Employee

    String id

    String firstName

    String lastName

    String email

    String phone

    String position

    String department

    String salary

    String startDate

    String endDate

    Employee {1}-memberOf-{1} Department

    Employee {1..n}-participatesIn-{1..n} Project

 

Department

    String id

    String name

    Department {1}-managedBy-{1} Employee (manager)

    Department {1}-includes-{1..n} Employee

 

Project

    String id

    String name

    String description

    String startDate

    String endDate

    String status

    Project {1}-involves-{1..n} Employee (teamMembers)

 

After minor changes (we removed the underlined), this diagram was provided by Gleek:

gpt4 gleek diagram 02.png

In contrast, GPT-3.5-turbo generates a much simpler diagram that includes only the entities and their attributes, without specifying their relationships. The diagram generated by GPT-3.5-turbo requires a significant amount of syntax changes to produce a legible visualization.

Response GPT-3.5-turbo:

EntityOne: Company

    Datatype id

    Datatype name

    Datatype address

    Datatype industry

    EntityOne {1}-relationDescription-{1..n} EntityTwo

 

EntityTwo: Employee

    Datatype id

    Datatype firstName

    Datatype lastName

    Datatype email

    Datatype phone

    Datatype position

    Datatype department

    Datatype salary

    Datatype startDate

    Datatype endDate

 

EntityTwo: Department

    Datatype id

    Datatype name

    EntityTwo {1}-relationDescription-{1} EntityTwo

 

EntityTwo: Project

    Datatype id

    Datatype name

    Datatype description

    Datatype startDate

    Datatype endDate

    Datatype status

    EntityTwo {1}-relationDescription-{1..n} EntityTwo

 

After quite a lot syntax changes (underlined), outputted diagram was:

gpt3-5 gleek diagram 01.png

Overall, the comparison between GPT-4 and GPT-3.5-turbo shows that while both models are capable of generating diagrams, GPT-4 provides more detailed and comprehensive outputs compared to GPT-3.5-turbo. As the technology continues to advance, we can expect that future iterations of AI language processing models will continue to improve in generating high-quality visual representations of complex processes.

But what does this all mean for you as a developer or a business owner? How can you leverage these language models and the advancements in AI technology to your advantage? This is where Blocshop comes in.

Harnessing the Power of AI with a dedicated team of AI software developers

At Blocshop, we pride ourselves on staying ahead of the curve when it comes to cutting-edge technology. As a leading custom software development studio, our team of experienced professionals is dedicated to providing the most advanced AI solutions available today.

As part of our ongoing commitment to innovation, we have closely examined the differences between various LLMs to be able to create even more powerful and intelligent applications for your business based on our findings.

Using our extensive tech stack, including Angular, Microsoft Azure, Ionic, Kotlin, Kubernetes, Progressive Web Apps, MongoDB, Java programming language, Amazon Web Services, Microsoft SQL Server, React, Net Core, LLM, and of course the OpenAI products, we're constantly pushing the boundaries of what's possible in custom software development.

At Blocshop, we understand that the future of business relies on harnessing the power of AI. By staying informed about the latest advancements in large language models (LLM) development, we ensure that our clients receive the most innovative and effective solutions for their unique needs.

Choose Blocshop as your custom AI software development partner and gain an unfair advantage in today's drastically changing competitive marketplace.

Contact us today to discuss how we can help your business thrive.


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