OpenAI’s GPT series has gained significant attention for its conversational AI capabilities. GPT-4, the latest version of ChatGPT, OpenAI’s language model, has taken Artificial Intelligence (AI) to new heights. Its ability to process text, images, and videos makes ChatGPT an excellent marketing tool for individuals, businesses, and marketers alike. Although GPT 3 and GPT 4 will offer advanced natural language processing capabilities, they differ in some significant ways. In this blog, we will discuss what are the factors that differentiate between the two.
What is GPT 3?
GPT-3 is a language model that can process and generate text that looks like human speech. It was developed by OpenAI, a research lab for Artificial Intelligence, and is available as an API. The term GPT refers to generative pre-trained transformers. “Training” refers to the large collection of text data that the model used to learn about human language.
Through its creation process, GPT-3 digested billions of words to develop a deep understanding of human language, analyze the meaning behind words, and generate independent language. The GPT-3 is also trained in a variety of languages, including English.
GPT 3 use cases: Transforming the future of work
1. Chatbots and customer service
The GPT-3 can be integrated into chatbots for a human-like customer service experience. As a result, customer satisfaction can be improved, and customer support can be streamlined. If you want to build an AI chatbot for your business, our chatGPT applications development company can help.
2. Content creation and marketing
Content can be generated for websites, social media, and other marketing channels using GPT-3. For businesses, this saves time and resources and improves content quality.
3. Virtual assistants and personal productivity
GPT-3 can be integrated with virtual assistant applications for managing tasks and schedules. Besides helping you stay organized, it can also help you become more productive.
4. Language translation and interpretation
Languages can be translated and interpreted using the GPT-3, making communication easier.
5. Marketing
In the field of marketing, GPT-3’s advanced capabilities have helped businesses enhance their strategies and achieve better results.
6. Programming
As a result of GPT-3’s language understanding and generation capabilities, developers can streamline their workflows and be empowered.
What is GPT-4?
OpenAI announced GPT-4 on March 14, 2023, nearly four months after ChatGPT was launched.
The GPT-4 (Generative Pre-trained Transformer 4) is OpenAI’s most advanced natural language processing model. It is capable of understanding and generating text and visual inputs. GPT-4 is faster and error-free than GPT-3. When compared to GPT-3, GPT-4 is able to understand more complex questions and prompts and generate output that is more accurate.
GPT 4 use cases: Far-reaching capabilities
1. Language translation
With GPT-4’s ability to understand the context and generate natural language text, it can generate highly accurate and effective translations of languages that cannot be achieved by human translation alone.
Startups and businesses that need to communicate in multiple languages with customers and partners may find this helpful. GPT-4 can improve communication and relationships between businesses and their international partners and customers by translating languages.
2. Content creation
Content creation is one of the important benefits of GPT 4. It can create highly sophisticated and natural language text, enabling it to produce blog posts, articles, and even books that are virtually indistinguishable from anything written by a human. In a matter of minutes, you could create dozens of high-quality blog posts or articles without spending hours researching and writing them. Those seeking ways to generate good-quality content at scale will find this a game-changer.
3. Chatbots and customer service
GPT-4 is not only useful for content creation but also for customer service and chatbots. GPT-4 is capable of understanding contexts and generating natural language responses. So, it could be used to create chatbots and virtual assistants that can interact with customers in a way that is virtually indistinguishable from human interaction.
A company or startup that receives a large volume of customer support requests can benefit greatly from GPT-4, as it provides fast and efficient customer support without requiring a large customer service department.
4. Advertising tailored to individual needs
GPT-4 could also be used for personalized advertising. GPT-4 can generate highly relevant language and understand context, allowing customized ads tailored to each individual user’s interests and preferences. Marketers and advertisers who are always seeking ways to improve the effectiveness of their ads can benefit greatly from this. Advertisers may see significant engagement and conversion increases if they create highly relevant ads.
5. Creative writing
Lastly, creative writing is another potential application for GPT-4. Even though some people remain skeptical about AI’s ability to produce creative writing, GPT-3 has already produced some impressive poetry and fiction.
The new GPT-4 may be able to generate even more sophisticated creative writing thanks to its 100 times more power than previous versions. In industries like advertising and marketing, where fresh, creative content is always essential to capturing people’s attention and engaging them, this can be useful.
GPT 3 vs. GPT 4: History
Knowing the history of GPT-4 and GPT-3 will help you understand their differences. OpenAI released GPT-3 in 2020, a language model that was trained on a huge dataset of text, including everything from books to websites. This language model was trained using 175 billion parameters, making it the largest so far. There are numerous applications for GPT-3, such as natural language processing, text classification, and chatbots. The performance of this program has been exceptional, and it has been used in a variety of applications.
On the other hand, GPT 4 was released on March 14, 2023, and is available via ChatGPT Plus in limited form, with access to its commercial API available via a waitlist. In GPT-4, data from public sources, as well as data licensed from third parties were used to pretrained and were fine-tuned with reinforcement learning using both human and artificial intelligence feedback.
GPT 3 vs. GPT 4: Key differences
While both GPTs offer advanced natural language processing capabilities, there are some notable differences between them. Let’s have a look at the comparison between GPT 3 vs GPT 4.
| GPT 3 | GPT 4 | |
| Language comprehension | It is impressive but less advanced than GPT 4 | Enhanced understanding of context, subtleties, and nuances |
| Ambiguity resolution | Less capable | It can clarify questions and cover multiple interpretations |
| Logical reasoning | Capable, but less advanced | Stronger, better at solving complex problems and drawing accurate conclusions |
| Contextual understanding | Struggles with longer conversations | Long-term relevance improved, better at maintaining relevance |
| Problem-solving and creativity | Capable, but less advanced | Ideas that are improved, more diverse, and more innovative |
| Analogical thinking | Less advanced | Making connections and drawing analogies has improved |
| Limitations | Responses may be incorrect or nonsensical; input phrasing may affect responses, no access to real-time or post-training data | There are similar limitations, but some improvements have been made in accuracy and information processing |
| Ethics | To ensure responsible use, continuous research and collaboration are required | There are similar ethical concerns with OpenAI’s implementation of safety mitigations |
GPT 3 vs GPT 4: How is GPT 4 better?
1. Inputs
The range of inputs that GPT-3 and GPT-4 can process varies slightly. The ChatGPT-3 language model only accepts text inputs, while the GPT-4 language model has the capability to accept images as well. The expansion of GPT-4’s input capabilities is an important advancement. As a result of the visual inputs, GPT-4 will be capable of processing images and providing contextual answers.
Adding image inputs to GPT- 4 might also have transformative effects. Through the integration of image recognition and analysis technology into GPT-4, it will be able to analyze and interpret images. As a result, computer vision systems could become more intelligent and advanced.
2. Improved language comprehension
Compared to GPT-3, GPT- 4 offers superior language comprehension and generation of a better understanding of context, nuance, and subtleties. By improving the accuracy and coherence of replies, a broader range of conversations can be addressed, making the tool a more effective communication method.
3. An understanding of the context
During longer conversations, GPT-3 sometimes struggled to maintain context, causing its responses to lose coherence and relevance. As a result of GPT-4’s improved contextual understanding, extended conversations are more consistent and relevant.
4. Ambiguity resolution
Using GPT- 4, ambiguous queries can be resolved by clarifying questions or providing multiple interpretations of responses. By adapting to the user’s intended meaning, the model can facilitate more engaging and productive conversations.
5. The ability to think creatively and solve problems
The GPT- 4 is significantly more creative and problem-solving-oriented than its predecessor. For brainstorming sessions and creative endeavors, it can generate more diverse and innovative ideas.
6. Using an analytical approach
Its ability to draw analogies and connect seemingly unrelated concepts is another significant improvement in GPT- 4. Creative fields such as advertising, marketing, and product development benefit from GPT- 4’s ability to generate novel insights and ideas.
7. Logical reasoning enhancement
With GPT- 4, you can solve complex problems and draw more accurate conclusions due to its improved ability to reason logically. The improvement allows it to support users in decisions, research, and data analysis more effectively.
GPT 3 vs. GPT 4: Key Takeaways
Compared to older versions of the models, GPT- 4 is OpenAI’s most advanced system. GPT-4 is more creative and coherent than GPT-3. You can even process images as well as longer pieces of text. You’re less likely to make up “facts” when you use this method. It opens up many new possibilities for generative AI development due to its capabilities.
Will GPT- 4 replace GPT-3 and GPT-3.5? Most likely not. Despite GPT’s increased power, it is also more expensive to use than previous OpenAI models. When you don’t need a model that processes multi-page documents or remembers long conversations, GPT- 3 will suffice.