What Drawbacks Does ChatGPT-3.5 Have?

ChatGPT-3.5 has caused quite a stir with its ability to perform a variety of tasks. These include answering user questions, writing songs and poems, translating, generating computer code and interacting in a human-like manner. However, despite the advanced features of this AI chatbot, there were still a few critical limitations that affected its performance and accuracy. We're going to dive into each of them. Inability to understand the context. ChatGPT-3.5 struggles to understand the subtle nuances of human language. It doesn't grasp the context when it consists of jokes or sarcasm. The problem is that it does not think the way people do and does not have the imagination to get the idea behind indirect sayings. Problems with generating long and structured texts. GPT-3 has been trained in a way it can produce longer responses. But in reality, when you ask it to give a lengthy answer to your questions, it starts repeating the same information over and over. So the output is long, but the context is vague and inaccurate. ChatGPT-3.5's shorter replies, on the other hand, can be quite informative. Unable to handle multiple tasks simultaneously. OpenAI's chatbot operates best if you give it only one task to work on. Trying to get multiple answers to your questions at once will reduce its accuracy and effectiveness. It's trained to perform one specific task at a time, such as answering questions or generating text. When ChatGPT is asked to perform multiple tasks simultaneously, it may become confused and give inappropriate or irrelevant responses. Generate biased data. The data used to train ChatGPT originally consisted of biases and prejudices. The training data reflects historical inequalities or stereotypes present in society. That's why, we can't expect the chatbot to give us completely objective outputs. Grammatical and accuracy troubles. Since ChatGPT is only a language model, it generates texts from vast amounts of training data. It originally may contain grammatical errors and misspellings, and due to the limitations of current AI technology, the chatbot isn't able to detect and fix these issues. In addition, ChatGPT generates responses based on probabilities, which means that the model may occasionally generate outputs that are grammatically incorrect or contain typos.

What Makes ChatGPT-4 Better Than ChatGPT-3.5: 3 New Functionalities

Longer Context OpenAI's new chatbot is capable of processing up to 25,000 words at once, which is 8 times more than its predecessor managed. In this way, GPT-4 can be successfully used for larger content creation, document search and analysis and longer conversations. Thanks to an advanced deep-learning approach that uses more data and more computation, OpenAI's GPT-4 can process longer inputs and generate more coherent and contextually appropriate outputs. Visual Inputs GPT-4 accepts not only text inputs, but also images, and can create labels, analyzes and classifications. For instance, you can provide a picture of different products and ask the chatbot what dish you can make from them. The parallel use of text and images allows users to better specify what they want to ask ChatGPT and what they want to receive as an output. The language model can handle a wide variety of visual documents, including infographics, photos, diagrams and screenshots. This new feature is still in its infancy, however, as it requires more research and revision to make it work accurately. The software is capable of labeling objects on an image, but you can't expect it to describe your image in a coherent way. Better Creativity ChatGPT-4 offers a higher level of creativity than its predecessor. Users can effectively collaborate with it to write multiple pieces of content that require originality: poems, songs, or screenplays. The chatbot is able to give surprising, clever and imaginative answers and come up with novel ideas or concepts that people may not have even thought of. However, the model hasn't yet reached the creativity of humans, because it can't provide users with truly breakthrough outputs, as they're ultimately the result of its training data and programming.

Oleg Khanachivskyi

Head of Upwork Sales

“Cultivating innovation and driving digital transformation is not just a goal, but a passion. What matters most is taking risks, making the most of new technology, and opening the path to an infinitely better future.”

Oleg Khanachivskyi, an expert in driving digital business growth through innovative Web&Mobile and AI solutions, is a distinguished leader in technology and business development.

Oleg acquired foundational knowledge in Electronic and Computing Equipment Engineering from the esteemed National Technical University of Ukraine ‘Kyiv Polytechnic Institute’.

Oleg has been an integral part of LITSLINK since 2017, when he started as a senior account executive, demonstrating his business development and client management prowess. Over the course of four years, he played a leading role in developing new business domains, managing key accounts, and providing expert guidance on IT services and infrastructure evolution.

In his current role as Head of the Upwork Sales Department at LITSLINK, Oleg drives annual sales growth, develops the sales representative team, and fosters skill enhancement. His expertise encompasses a wide array of areas, including Artificial Intelligence, Software Development, and Business Analysis.

Comparing ChatGPT-3.5 and ChatGPT-4: Exploring the Enhancements in the Latest Version

22 March, 2023 Artificial Intelligence

The world of AI chatbots is buzzing with the arrival of ChatGPT-4, the much-anticipated successor to the popular GPT-3.5. But how much of an upgrade are we talking about? Is ChatGPT-4 truly a...

Scale Your Business With LITSLINK!

Reach out to us for high-quality software development services, and our software experts will help you outpace you develop a relevant solution to outpace your competitors.

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Oleg Khanachivskyi

Head of Upwork Sales

Comparing ChatGPT-3.5 and ChatGPT-4: Exploring the Enhancements in the Latest Version

Scale Your Business With LITSLINK!

Thank you!