Know the Difference – Chat GPT 3.5 vs. GPT 4 Model

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ChatGPT-4 is the successor of ChatGPT and is more powerful and disruptive than its predecessor. ChatGPT-4 can generate text and accept image and text inputs — an improvement over GPT-3, its predecessor, which only accepted text. GPT-4 can see and understand images, which is the biggest update and difference between ChatGPT 4 and ChatGPT 3.

Note: GPT 4 Model is available to OpenAI’s paid ChatGPT Plus subscribers.

Natural language generation (NLG) is the process of creating natural language text from non-linguistic data, such as images, numbers, or keywords. Conversational AI is the application of NLG to create human-like dialogues between machines and humans. Both NLG and conversational AI are important for enhancing communication, information access, and user experience across various domains and platforms.

One of the most powerful technologies behind NLG and conversational AI is ChatGPT-4, a new language model created by OpenAI that can generate text that is similar to human speech. ChatGPT-4 is based on GPT-4, which stands for Generative Pre-trained Transformer 4. GPT models are deep learning technologies that use artificial neural networks to learn from large amounts of text data and produce new texts based on a given input.

In this article, we will compare and contrast ChatGPT-4 with its predecessor, ChatGPT, which was based on a version of GPT-3. We will explore how ChatGPT-4 differs from ChatGPT in terms of size, multimodality, factualness, and safety.

1. Size and Parameters

One of the main aspects that differentiate ChatGPT-4 from ChatGPT is the size and number of parameters of each model. Parameters are numerical values that determine how a neural network processes and generates natural language. The more parameters a model has, the more data it can learn from and the more complex tasks it can perform.

ChatGPT was based on GPT-3, which had 175 billion parameters. This made it one of the largest and most powerful language models at the time. ChatGPT could perform various natural languages tasks such as text generation, language translation, text summarization, question answering, chatbot, and automated content generation.

ChatGPT-4 is based on GPT-4 and can support up to 1 trillion parameters. This makes it even more powerful than ChatGPT and capable of handling more diverse and challenging natural language scenarios. ChatGPT-4 can perform all the tasks that ChatGPT can do, but with higher accuracy, creativity, and collaboration. It can also handle multimodal inputs that include both text and images, which we will discuss in more detail later.

2. Multimodality

Multimodality refers to the ability of a language model to handle not only words, but also pictures, in generating text. This allows the model to understand and produce more rich and diverse content that can combine different forms of expression.

ChatGPT was a text-only model that could not process or generate images. It could only operate in a single modality, which limited its applications and creativity. For example, it could not describe an image, caption a video, or create a meme.

ChatGPT-4 is a multimodal model that can accept both text and image inputs . It can operate in multiple modalities, which opens up exciting new possibilities for artificial intelligence applications.

It can describe an image with natural language, solve visual puzzles, generate memes, or create stories with illustrations.

For example, if you input a picture of a dog and a caption “This is my pet”

GPT-4 can generate a response like “What a cute dog! What is its name and breed?” or “How long have you had your pet? I have a cat myself.”

3. Factualness

Factualness is another important criterion to evaluate the quality and reliability of each model in producing factual responses. Factualness refers to the degree to which a language model can capture and generate correct and up-to-date factual knowledge from the text it is trained on.

ChatGPT had a low level of factualness, as it often generated incorrect or outdated facts that contradicted the reality or common sense. For example, it could claim that Barack Obama was still the president of the United States or that Paris was the capital of Germany. This made ChatGPT unreliable and untrustworthy for many downstream tasks that required factual accuracy.

ChatGPT-4 has a higher level of factualness, as it can better store and retrieve factual knowledge in its parameters. It can also evaluate the validity of its own claims and predict which questions it will be able to answer correctly. For example, it can state that Joe Biden is the current president of the United States or that Berlin is the capital of Germany. This makes ChatGPT-4 more reliable and trustworthy for many downstream tasks that require factual accuracy.

OpenAI measures and improves the factualness of ChatGPT-4 by using various methods such as probing, editing, fine-tuning, and calibration. These methods aim to test, correct, update, and align the factual knowledge of ChatGPT-4 with reality or common sense.

4. Safety

Safety is a crucial criterion to evaluate the potential harms and risks of each model when dealing with requests for disallowed or harmful content. Disallowed or harmful content can include hate speech, misinformation, personal attacks, erotic content, phishing, spam, etc.

ChatGPT had a low level of safety, as it often generated disallowed or harmful content that violated ethical norms and social values. For example, it could produce racist, sexist, or abusive language that offended or harmed others. It could also spread false or misleading information that undermined trust and credibility. This made ChatGPT unsafe and irresponsible for many downstream tasks that required ethical standards and social responsibility.

ChatGPT-4 has a higher level of safety, as it can better detect and avoid generating disallowed or harmful content by using various methods such as filtering, alignment, calibration, and evaluation. For example, it can filter out offensive or inappropriate words from its vocabulary. It can also align its outputs with human values and preferences by using reinforcement learning or human feedback. It can also calibrate its confidence and uncertainty levels by using probability estimates or error bounds. It can also evaluate its safety performance by using diverse and realistic datasets and metrics. This makes ChatGPT-4 safer and more responsible for many downstream tasks that require ethical standards and social responsibility.


Is ChatGPT-4 available?

Yes, GPT-4 is now available on ChatGPT Plus, Khan Academy, and Duolingo.

What does ChatGPT-4 do?

ChatGPT-4 is an artificial intelligence system that can create human-like text. It is a new language model being developed by OpenAI that can generate text that is similar to human speech. One of ChatGPT-4’s most dazzling new features is the ability to handle not only words, but pictures too, in what is being called “multimodal” technology3.

What’s new in ChatGPT 4?

One of ChatGPT-4’s most dazzling new features is the ability to handle not only words but pictures too, in what is being called “multimodal” technology. ChatGPT-4 can respond using up to 25,000 words, rather than the 3,000-word limit for the free version of ChatGPT2. This allows the chatbot to provide a greater context in its responses and handle larger text inputs.

What is the difference between ChatGPT 3 and 4 data?

ChatGPT-3 is a transformer-based model, whereas ChatGPT-4 is a multi-model model that combines transformers with other machine learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs). This combination allows ChatGPT-4 to process different types of data, including text, and images simultaneously.

How many parameters will GPT-4 have?

According to Andrew Feldman, founder and CEO of Cerebras, GPT-4 will have about 100 trillion parameters. However, it won’t be ready for several years.

How much better is GPT-4?

ChatGPT-4 claims to be 40% better at producing factual responses than its predecessor, GPT-3.

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1 thought on “Know the Difference – Chat GPT 3.5 vs. GPT 4 Model”

  1. Es increíble el avance del desarrollo de estos modelos, y es seguro que en poco tiempo cristalice una acción automática por si misma.

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