michaela-damm.jpg
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.


Learn more from our insights

roro665_Best_Practices_for_Integrating_AI_in_Fintech_Projects_76570294-b2df-4e1d-a775-bdc646351d08_1 (1).png
October 16, 2024

Best practices for integrating AI in fintech projects

Discover 8 key steps for AI implementation in fintech and open banking with a focus on compliance, data quality, bias, and ethics.

roro665_Extract_Transform_Load_process_for_data_that_is_power_8734b36d-5737-4fdb-904e-ea6bca40c51b_3.png
October 09, 2024

Real-life examples of generative AI products and applications

See real-life examples of generative AI products and applications developed by Blocshop that impact industries from retail to fintech.

roro665_data_transformation_from_one_format_to_another_with_g_91332f66-93b0-48d8-9d5e-a8609529cbb7_3.png
September 25, 2024

Generative AI-powered ETL: A Fresh Approach to Data Integration and Analytics

ETL meets generative AI. See how AI-powered ETL redefines data integration and brings more flexible data processing and analytics across industries.

roro665_uk_pensions_dashboard_reform_magazine_cover_collage_-_1888e056-80f6-4aac-958c-bf02b128a7d3_1.png
September 03, 2024

UK Pensions Dashboard Compliance: Deadlines, Transition Steps, and the Use of AI-driven Data Mapping

How AI-driven data mapping can support UK Pensions Dashboard compliance. Understand key deadlines and steps for efficient data conversion and transition to the UK Pensions Dashboard.

roro665_a_cover_image_depicting_data_conversions_and_compliance_c8ddf35a-cc0f-447a-abb7-0f4b1f14bb64 (1).png
August 23, 2024

Using AI for data conversion and compliance in the banking sector

Discover how AI transforms data conversion and compliance in the banking industry, optimizing processes while managing risks.

ai_applications_in_banking_and_banking_technology_blocshop.png
August 14, 2024

AI Applications in Banking: Real-World Examples

Explore how major banks are using AI to enhance customer service, detect fraud, and optimize operations, with insights into technical implementations.

20221116_153941.jpg
July 31, 2024

From Concept to MVP in Just 12 Weeks with Blocshop

Blocshop delivers your MVP in 12 weeks, solving real pain points with agile sprints, daily scrum meetings, and fortnightly reviews. Here's the process explained.

chatgpt4_ai_integration_blocshop-transformed.png
July 19, 2024

ChatGPT-4: An Overview, Capabilities, and Limitations

The technical aspects, usage scenarios, and limitations of ChatGPT-4, including a comparison with ChatGPT-4o.

roro665_depict_a_data_sample_thta_completely_changes_its_form_725a4f20-ea40-4dd1-a68d-5c4327c9bf24_1.png
June 20, 2024

Generative AI used for data conversions and reformatting

How to use generative AI for data conversion, addressing integrity, hallucinations, privacy, and compliance issues with effective validation and monitoring strategies.

DALL·E 2024-05-30 09.37.01 - An illustration suitable for an article about ISO 20022. The scene should feature a modern, sleek representation of the ISO 20022 logo in the center. .webp
May 28, 2024

ISO 20022 Explained: A Comprehensive Guide for Financial Institution Managers

What is ISO 20022? How does it affect companies and institutions in the fintech and banking industry and how to prepare for its adoption? All explained in this article.

DALL·E 2024-05-22 20.55.08 - A detailed and high-quality DSLR photo of a person using a laptop to shop online, showing personalized product recommendations on the screen. The back.webp
May 16, 2024

Key AI Trends in E-commerce and Overview of AI integrations for E-commerce Platforms in 2024

Transform your e-commerce platform with AI tools for personalization, analytics, chatbots, search, and fraud detection. Boost sales and improve customer experiences.

eIDAS mark.png
May 09, 2024

Digital Identity and Payment Services in the EU in 2024: Key Updates

eIDAS 2.0 and PSD3 are set to enhance how digital identities and payment services are managed across the European Union in 2024. Here’s an overview of how each framework contributes to the digital landscape of the EU, what to expect, and how to prepare.

eIDAS 2 in fintech and open banking EU market.png
May 06, 2024

What is eIDAS 2.0 and EU Digital Identity Wallet and how will it change the EU digital market

Learn how eIDAS 2.0 and the EU Digital Identity Wallet will transform digital transactions and identity management across the European Union.

best large language models for ERP systems.png
March 31, 2024

Language Models Best Suited for Integration into ERPs

Four prominent large language models stand out for their compatibility and effectiveness in ERP system processes and automation. See what they are.

PSD3 in open banking Blocshop.png
April 23, 2024

PSD2 vs. PSD3: The Evolution of Payment Services Regulation

What is PSD3 in open banking? See how PSD3 compares to PSD2 and what should banks and fintech businesses do to ensure regulatory compliance in the EU market.

roro665_hands_working_with_a_laptop_in_a_modern_office_there_is_20dca307-c993-4539-99d7-fd5ca264248c.png
April 14, 2024

Enhancing ERP Systems with AI Chatbots

Explore how AI chatbots can transform ERP systems, enhancing efficiency, decision-making, and user interaction.

eIDAS in fintech and open banking EU market.png
April 29, 2024

eIDAS: The regulation helping secure Europe's digital future

See how eIDAS enhances EU digital transactions with secure identity verification, supporting e-commerce and public services across Europe.

hybrid ERPs.png
March 21, 2024

Hybrid ERP: An Innovative Approach to Enterprise Resource Planning

Hybrid ERP is a blend of cloud and on-premise solutions. With expertise in both, Blocshop is uniquely positioned to help you with hybrid ERP development and implementation.

0-4 cover.png
October 03, 2023

IT Staffing: Individual Hiring vs. Specialized Developer Teams

Should you hire individual developers or go for a specialized, custom-built developer team?

chatgpt-35-limitations.jpg
July 17, 2023

ChatGPT-3.5: An Overview and Limitations

In this article, we'll take a closer look at the capabilities and limitations of ChatGPT-3.5, providing you with a comprehensive overview of what it can do and what its boundaries are. So, let's delve into the inner workings of this large language model.