The article discusses the differences between ChatGPT 3 and ChatGPT 4, highlighting ChatGPT 4’s improvements and new features over its predecessor. ChatGPT 3 is praised for its versatility and tasks it can perform, while ChatGPT 4’s new features include multimodal capabilities, enhanced coding proficiency, and improved response precision. The user review of ChatGPT 4 emphasizes its enhanced text output but points out drawbacks related to usage limitations and web interface constraints. Ultimately, the choice between ChatGPT and ChatGPT-4 depends on the specific needs and complexity of the task at hand.
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ChatGPT 3 vs ChatGPT 4: What’s The Major Difference
Wondering about the key differences between ChatGPT 3 and ChatGPT 4?
You’re not alone. Many people are curious about what sets these two versions apart, especially regarding practical applications. This comparative analysis is just for you, especially if you want ChatGPT Plus. ChatGPT 3 made waves with its capabilities, but ChatGPT 4 comes with notable improvements and new features.
In this article, we’ll dive into the specifics, comparing ChatGPT 3 and ChatGPT 4 to help you decide which version best aligns with your goals and tasks.
What is ChatGPT
ChatGPT, developed by OpenAI and released on November 30, 2022, is an AI chatbot known for its ability to generate human-like text. It’s built on the foundations of large language models (LLMs) and the Generative Pre-trained Transformer (GPT) architecture.
This technology allows ChatGPT to understand and respond to user input conversationally, making it appear incredibly human-like in its interactions.
One of the key aspects of ChatGPT is its memory capability. Unlike other chatbots, it can remember previous parts of the conversation, which helps it respond more fluidly and contextually. This feature enhances the overall user experience, making conversations with ChatGPT more engaging and coherent.
Everything You Need to Know About ChatGPT 3
ChatGPT 3, developed by OpenAI, is a revolutionary language processing AI model that stands out for its ability to generate human-like text. Officially known as “Generative Pre-trained Transformer 3,” it’s the most powerful language model, with an impressive 175 billion parameters. This makes it among the largest and most sophisticated language-processing AI models available.
The prowess of ChatGPT 3 lies in its versatile capabilities. It can perform various tasks for chatbots, including language translation, language modeling, and even text generation.
In conversations, ChatGPT 3 is good. It doesn’t just give yes or no answers; it can write long, detailed replies. This means it can keep talking about a topic, fix mistakes it made, argue if something doesn’t seem right, and say no to things it shouldn’t do.
But there are some things ChatGPT 3 can’t do. It doesn’t know everything, especially stuff that happened after 2021. Sometimes, it might even get things wrong or say something it shouldn’t. It’s not perfect and doesn’t always understand jokes or tricky language. Also, ChatGPT 3 can write a lot, but sometimes, it might focus too much on one part of what you asked and miss the other parts.
Now, it’s time to talk about the tasks that ChatGPT 3 can perform without any errors or hallucinations, or we should say, with minor errors.
So, here are some tasks ChatGPT 3 can perform:
- Creating Deliciously Fine Recipes
- Acting as a Virtual Travel Guide
- Writing and Composing Music
- Playing Some Fun Trivia Games
- Writing Essays and Blogs
- Creating Code Snippets
- Generating Engaging Email Subject Lines
The above section covered some tasks ChatGPT 3 can perform without major errors or hallucinations. However, there are a ton of workflows that ChatGPT 3 will disappoint you in:
- Multitasking
- Demonstrating Creativity
- Providing In-Depth Information
- Understanding Specialized Topics
- Avoiding Biased Responses
- Understanding Context and Emotions
- Solving Complex Mathematical Problems
- Completing Long-Form Responses
User reviews of ChatGPT reveal a mix of admiration and constructive criticism. Many users delight at ChatGPT’s versatility, praising its ability to assist in various tasks, including content creation, programming, and educational support. Its intuitive design and ease of use are frequently highlighted, making it accessible even to those with little technical background.
However, there are notable areas for improvement. Users point out limitations in ChatGPT’s knowledge base, with some information being outdated or incorrect, particularly for events after 2021. This sometimes results in inaccuracies, especially when dealing with recent developments or highly specialized topics. Users also mention its occasional verbosity and sensitivity to input phrasing, which can affect the precision and relevance of its outputs.
Everything You Need to Know About ChatGPT 4
ChatGPT 4, launched on March 14, 2023, by OpenAI, represents a significant advancement in AI chatbot technology. It is the fourth iteration of the Generative Pre-trained Transformer series and builds upon the capabilities of its predecessor, ChatGPT 3.5.
Known for its multimodal abilities, ChatGPT 4 can process text and images, making it more versatile and capable than earlier.
This model was created after OpenAI devoted six months to improving its design, focusing on making it safer, more accurate, creative, and collaborative. ChatGPT 4 is 40% more likely to provide correct answers than its predecessor and demonstrates reduced bias and fewer errors in its responses.
ChatGPT 4 is available to ChatGPT Plus, Team, and Enterprise subscribers for a monthly fee and as an API tool for developers. It has been integrated into various applications, including Microsoft’s Bing search engine. Businesses like Morgan Stanley and Duolingo use ChatGPT 4 for tasks such as organizing wealth management data and aiding language learning.
Unlike ChatGPT 3, GPT-4 can process both text and images. For instance, it can turn a drawing into a functional website or explain a joke from a series of images. This multimodal capability was not possible with ChatGPT 3, making GPT-4 more versatile in handling a broader range of inputs.
GPT-4 enhances its coding capabilities beyond what was seen in ChatGPT 3. Users, even with little coding knowledge, can use it to recreate games or develop apps, following step-by-step instructions provided by the AI. It writes code in all major programming languages and offers improved assistance in debugging and optimizing code compared to ChatGPT 3.
GPT-4 can produce responses up to 25,000 words, significantly more than ChatGPT 3. It offers detailed instructions for unique scenarios with higher reliability. This improved detail and response reliability mark a clear advancement from ChatGPT 3.
GPT-4’s enhanced understanding of complex subjects allows it to perform tasks that require deep knowledge, such as conducting literature reviews and providing expert-level insights. This is a step up from ChatGPT 3, which might struggle with the depth and accuracy required for such tasks.
The user review of ChatGPT 4 by Michael King, a coder and DevOps engineer, presents a balanced perspective on the AI model’s capabilities and limitations. King appreciates the advancements in GPT 4, particularly its improved text output, which he finds more coherent, better structured, and natural-sounding compared to GPT 3.5. He highlights the model’s enhanced ability to understand the context of entire conversations, making its responses more accurate and personalized.
However, King points out some significant drawbacks. He criticizes the restrictive request limits for ChatGPT Plus members, finding the reduction from 100 to 25 requests every three hours insufficient for his professional and personal use. This limitation, combined with a lack of clarity on the remaining requests and the duration of the time window, adds to his frustrations.
Another notable issue King faces is the web interface’s inability to accommodate the increased token limit of GPT 4. Despite the model’s capacity to handle input of almost 25,000 words, the interface still operates under the constraints of older models, hindering the full utilization of GPT 4’s potential.
ChatGPT and ChatGPT-4 are both language models developed by OpenAI with impressive capabilities. While ChatGPT has a maximum parameter size of 1.5 billion, ChatGPT-4 is a much larger model with a maximum parameter size of 6 billion. This difference in size allows ChatGPT-4 to perform more complex tasks and generate more sophisticated responses, making it a better choice for tasks that require a higher level of language understanding. However, ChatGPT is still a powerful tool for many use cases and can provide excellent responses for various applications. Ultimately, the choice between ChatGPT and ChatGPT-4 will depend on the user’s specific needs and the complexity required for the task.
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