Wondering concerning the key differences between ChatGPT 3 and ChatGPT 4?

You’re not alone. Many persons are interested by what sets these two versions apart, especially regarding practical applications. This comparative evaluation is only for you, especially if you happen to want ChatGPT Plus. ChatGPT 3 made waves with its capabilities, but ChatGPT 4 comes with notable improvements and latest features.

In this text, we’ll dive into the specifics, comparing ChatGPT 3 and ChatGPT 4 to aid you determine which version best aligns together 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 huge language models (LLMs) and the Generative Pre-trained Transformer (GPT) architecture.

This technology allows ChatGPT to grasp and reply to user input conversationally, making it appear incredibly human-like in its interactions​​.

One of the important thing points of ChatGPT is its memory capability. Unlike other chatbots, it could possibly remember previous parts of the conversation, which helps it respond more fluidly and contextually.

This feature enhances the general user experience, making conversations with ChatGPT more engaging and coherent.

Now that you’ve got understood what ChatGPT is let’s now jump to our predominant section and discover every part you’ll want to find out about ChatGPT 3 and ChatGPT 4 and their differences.

Everything You Need to Know About ChatGPT 3

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 often known as “Generative Pre-trained Transformer 3,” it’s essentially the most powerful language model, with a powerful 175 billion parameters. This makes it amongst the biggest 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 nice. It doesn’t just give yes or no answers; it could possibly write long, detailed replies. This means it could possibly keep talking a couple of topic, fix mistakes it made, argue if something doesn’t seem right, and say no to things it shouldn’t do.

To learn tips on how to do all this, ChatGPT 3 read numerous stuff on the web – like books, web sites, and Wikipedia. It learned from about 300 billion words! This helps it guess what to say next in a conversation.

But there are some things ChatGPT 3 can’t do. It doesn’t know every part, especially stuff that happened after 2021.

Sometimes, it’d even get things unsuitable or say something it shouldn’t. It’s not perfect and doesn’t at all times understand jokes or tricky language. Also, ChatGPT 3 can write rather a lot, but sometimes, it’d focus an excessive amount of on one a part of what you asked and miss the opposite parts.

Tasks ChatGPT 3 Can Perform

Now, it’s time to speak concerning the tasks that ChatGPT 3 can perform with none errors or hallucinations, or we should always say, with minor errors.

In our personal opinion, GPT 3 can only perform certain sets of tasks that don’t require very deep logical considering, longer prompts, longer conversations, and more.

So if you happen to’re considering using ChatGPT 3 for skilled tasks, we is not going to recommend it.

So, listed below are some tasks ChatGPT 3 can perform:

1. Creating Deliciously Fine Recipes

chatgpt 3 for cooking

ChatGPT 3 can whip up various recipes based in your preferences and the ingredients you’ve got. You can get diet-friendly recipes by specifying dietary needs.

Just ask for a recipe from a selected cuisine, and you’ll be able to customize it by mentioning ingredients you would like or don’t want.

2. Acting as a Virtual Travel Guide

Planning a visit? ChatGPT 3 may be your virtual tour guide. Tell it where you’re going, and it’ll provide you with recommendations on the perfect spots, local cuisines, and historical insights.

It can advise on appropriate clothing based on the climate, but remember, it won’t provide the most recent weather updates.

3. Writing and Composing Music

ChatGPT 3 is sort of a digital composer. It can create music in almost every genre, write lyrics, suggest chord progressions, and even give composing instructions. If you’re interested by how one artist’s song would sound in one other’s voice, ChatGPT 3 can show you that too​.

4. Playing Some Fun Trivia Games

For a little bit of fun, ChatGPT 3 can arrange trivia games. Just give it a theme, and it’ll provide you with questions. You can even challenge it by providing specific trivia questions and answers. While it could possibly create or solve riddles, it won’t at all times get them right​​.

5. Writing Essays and Blogs

ChatGPT 3 can write essays and blogs on any topic. It’s helpful for college students and teachers, assisting with assignments, generating ideas, and even grading homework.

Remember, it’s best so as to add your personal touch to its suggestions​​.

6. Creating Code Snippets

ChatGPT 3 is a coder’s ally. It can generate code snippets in multiple programming languages. These snippets are useful for solving common programming challenges or understanding specific coding techniques​​.

7. Generating Engaging Email Subject Lines

For email marketing, ChatGPT 3 can generate creative subject lines to draw subscribers. It tailors these to suit your brand’s voice, and you need to use it for A/B testing to seek out what works best together with your audience​​.

Tasks ChatGPT 3 Cannot Perform Accurately

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:

1. Multitasking

ChatGPT 3 struggles with multitasking. If you give it multiple tasks without delay, like doing calculations and writing an essay, it cannot process them concurrently or in sequence​​.

2. Demonstrating Creativity

While ChatGPT 3 can generate creative responses, its creativity is proscribed to patterns it has learned. It may struggle with tasks requiring high levels of original creativity or novel ideas​​.

3. Providing In-Depth Information

ChatGPT 3 often provides summaries moderately than detailed information. Especially on complex topics, its responses might lack depth and sometimes contain inaccuracies​​.

4. Understanding Specialized Topics

ChatGPT 3 may falter on rare or specialized topics that lack extensive online data. In such cases, it’d provide superficial or irrelevant answers​​.

5. Avoiding Biased Responses

The training data of ChatGPT 3 may contain biases, which may be reflected in its responses. This might result in answers which might be inadvertently biased or discriminatory​​​​.

6. Understanding Context and Emotions

ChatGPT 3 often has difficulty understanding context, especially humor and sarcasm. It also cannot express or interpret emotions effectively, making it unsuitable for tasks requiring emotional intelligence​​​​.

7. Solving Complex Mathematical Problems

ChatGPT 3 can handle basic math but struggles with complex calculations or multi-step mathematical problems. It might take too long or provide incorrect solutions​​.

8. Completing Long-Form Responses

When asked to jot down long-form content, ChatGPT 3 might stop mid-way and require prompts to proceed, which may be inconvenient for users expecting complete responses in a single go​​.

ChatGPT 3: User Experience and Feedback

User reviews of ChatGPT reveal a combination of admiration and constructive criticism.

Many users delight at ChatGPT’s versatility, praising its ability to help in various tasks, including content creation, programming, and academic support. Its intuitive design and ease of use are regularly highlighted, making it accessible even to those with little technical background.

The AI’s ability to generate informative, conversational, and context-aware responses is especially appreciated.

However, there are notable areas for improvement.

Users indicate limitations in ChatGPT’s knowledge base, with some information being outdated or incorrect, particularly for events after 2021.

This sometimes ends in inaccuracies, especially when coping with recent developments or highly specialized topics. Users also mention its occasional verbosity and sensitivity to input phrasing, which might affect the precision and relevance of its outputs.

Another common point of critique is ChatGPT’s tendency to generate biased responses, reflecting the biases present in its training data.

This aspect is a major drawback, particularly for users searching for unbiased information or opinions.

Check out all of the reviews here: ChatGPT 3 User Reviews.

Everything You Need to Know About ChatGPT 4

chatgpt 4

ChatGPT 4, launched on March 14, 2023, by OpenAI, represents a major 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 pictures, making it more versatile and capable than earlier.

This model was created after OpenAI devoted six months to improving its design, specializing in making it safer, more accurate, creative, and collaborative. ChatGPT 4 is 40% more prone to provide correct answers than its predecessor and demonstrates reduced bias and fewer errors in its responses.

However, like ChatGPT, it doesn’t lack information on events after 2021.

ChatGPT 4 is offered 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 similar to organizing wealth management data and aiding language learning.

1. Analyzing More Than Text and Visual Input

chatgpt 4 capabilities

Unlike ChatGPT 3, GPT-4 can process each text and pictures. For instance, it could possibly turn a drawing right into a functional website or explain a joke from a series of images.

This multimodal capability was impossible with ChatGPT 3, making GPT-4 more versatile in handling a broader range of inputs​​.

The other awesome feature is that GPT-4 can take images as inputs and generate captions, classifications, and analyses.

2. Coding Made Even Easier

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 in comparison with ChatGPT 3​​.

3. Providing More Precise Responses

GPT-4 can produce responses as much as 25,000 words, significantly greater than ChatGPT 3. It offers detailed instructions for unique scenarios with higher reliability.

This improved detail and response reliability mark a transparent advancement from ChatGPT 3.

4. Complex Knowledge Work

GPT-4’s enhanced understanding of complex subjects allows it to perform tasks that require deep knowledge, similar to conducting literature reviews and providing expert-level insights.

GPT-4 surpasses ChatGPT in its advanced reasoning capabilities.

This is a step up from ChatGPT 3, which could struggle with the depth and accuracy required for such tasks​​.

In a nutshell, ChatGPT 4 or GPT Plus can do anything and almost every part with no to minimal errors. And the perfect part is that GPT 4 has additional features like GPTs, which enable you to coach your data.

You can learn tips on how to create your custom GPTs in ChatGPT Plus.

ChatGPT 4 User Feedback and Review

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, higher structured, and natural-sounding in comparison with GPT 3.5.

He highlights the model’s enhanced ability to grasp 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 skilled and private use.

This limitation, combined with an absence of clarity on the remaining requests and the duration of the time window, adds to his frustrations.

Another notable issue King faces is the online interface’s inability to accommodate the increased token limit of GPT 4.

Despite the model’s capability to handle input of virtually 25,000 words, the interface still operates under the constraints of older models, hindering the total utilization of GPT 4’s potential.

ChatGPT 3 vs ChatGPT 4: Comparative Analysis

Feature ChatGPT 3 ChatGPT 4
Model Size 175 billion parameters Significantly larger than ChatGPT 3
Capabilities Language translation, text generation, language modeling Enhanced text generation, ability to process each text and pictures (multimodal)
Token Limit per Request 4096 tokens (approx. 3000 words) 32000 tokens (approx. 25000 words)
Message Limits Unlimited 40 messages/ 3 hour
Knowledge Cut-off Up to 2021 Recent knowledge
User Experience Conversational, human-like interactions, but with occasional inaccuracies and limitations in specialized topics More coherent, higher structured, and natural-sounding responses; improved context understanding
Creativity and Context Limited creativity, struggles with high levels of originality; sometimes lacks depth in responses Improved creativity and context comprehension; higher at maintaining conversation history and context
Bias and Sensitivity Presence of biases from training data; difficulty with humor and sarcasm Reduced bias and fewer errors; improved but not perfect understanding of nuances
Tasks Suited For General conversation, basic Q&A, easy coding help, content generation Advanced coding assistance, complex problem-solving, deeper content generation, handling larger data inputs
Interface and User Accessibility Traditional chat interface, limitations in handling large text inputs Advanced features expected but some limitations in web interface compatibility with increased token limit
Professional Use Suitability Useful but with caution as a result of limitations More fitted to skilled tasks with its enhanced capabilities
Tools Does not comes with browsing, DALL E, and Plugins Does not include browsing, DALL E, and Plugins
Overall Performance Impressive for a big selection of tasks but with notable limitations Marked improvement in accuracy, context understanding, and detailed response generation
Difference Table

The End!

ChatGPT and ChatGPT-4 are each 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 option for tasks that require the next level of language understanding.

However, ChatGPT remains to be a robust tool for a lot of use cases and might provide excellent responses for various applications.

Ultimately, the selection between ChatGPT and ChatGPT-4 will rely upon the user’s specific needs and the complexity required for the duty.

This article was originally published at www.greataiprompts.com