G.Y.

Tag: OpenAI

  • What Is Chat GPT-4 and It’s Fascinates and Worries

    What Is Chat GPT-4 and It’s Fascinates and Worries

    The other day OpenAI, the creator of ChatGPT, announced the GPT-4 model. The most advanced artificial intelligence model so far, GPT-4’s work is “jaw-dropping.

    Table of Contents

      ∘ What can GPT-4 do?
      ∘ It can be a lawyer
      ∘ From image to website
      ∘ Can make drug discoveries
      ∘ Can improve dating apps

    The new artificial intelligence model, which has an arrow-mode structure, has received some very important improvements compared to its previous version, GPT-3.5. 

    The AI, which has been cleaned of its existing bugs, now accepts visual inputs, making the usage scenario almost limitless.

    OpenAI, which owns AI tools such as ChatGPT and Dall-E, has already released GPT-4. As we mentioned in our previous news, GPT-4 has been included in Microsoft’s new Bing for a while. Now it is available to everyone via a waiting list in the ChatGPT Plus version.

    OpenAI prepared a demo event to show what the new GPT-4 can do and opened the door to unlimited usage scenarios. 

    It’s up to you whether you want to walk through that door or not, but it’s clear that GPT-4 can be of great benefit to you no matter what you do. 

    On the other hand, warnings about the accuracy of the answers continue.

    What Can GPT-4 Do?

    Source: openAI

    GPT-4 is a model of artificial intelligence, and it is still far from being the “artificial general intelligence” we define as AGI. 

    But this is not a shortcoming, GPT-4 is an incredible “technology” in its own right. For example, it takes only 60 seconds to make Pong, one of the oldest arcade games made in 1972, with GPT-4. 

    From the model you can just ask “I want to create a Pong-like game, what’s the best language to do it in? 

    I also want to use Replit to build it” which is enough to make a game. But the possibilities are not limited to this.

    It Can Be a Lawyer

    Source:Twitter

    It only takes a few minutes to build a case file with GPT-4. 

    In one example, GPT-4 powered ChatGPT was asked to prepare a federal lawsuit against a spam caller. 

    The damages requested in the lawsuit are 1500 dollars. In a few seconds, ChatGPT gives you a case file.

    From Image to Website

    Source:Twitter

    If that’s not impressive enough, here’s a use case OpenAI demonstrated at its own demo event. 

    GPT-4 can turn a hand-drawn sketch on a small piece of paper into a functional website. 

    Because as we said above, GPT-4 can accept visual input. So you can add an image to the query and ask the model to do something similar or to describe the image. In this scenario, a small joke website was made.

    Can Make Drug Discoveries

    Source: openAI

    GPT-4 is also much more “exploratory”. For example, it is possible to ask 

    GPT-4 to make a drug discovery. It is possible to give an existing drug to 

    GPT-4 and ask it to find compounds with similar properties, and also to ensure that they are not patented. It can even create an order form for the supply of the found compounds. 

    This feature is also a bad feature, depending on how you look at it. It can be used maliciously, but if it is used ethically, great things can happen.

    GPT-4 can be your savior if you’re not good with contracts. 

    In one example, you ask for the shortcomings of the Ethereum contract, and in a few seconds, the model highlights the shortcomings, areas that can be exploited, and possible ways to take advantage of them.

    Can Improve Dating Apps

    Source:Twitter

    With GPT-4, it seems that more personalized, targeted ads will enter our lives. 

    We actually see a small section of this in the example of a dating app. It is ensured that the most accurate matching can be made by analyzing the data input of the users.

    In conclusion, I cannot say that GPT-4 is a radical innovation, but I can say that tons of things have been put on top of the GPT-3.5 model. 

    Whether you want to make a Pong game, or a snake game, create a case file or turn a paper sketch into a real website. The options are very wide.

    Source:Twitter

    On the other hand, some important vulnerabilities in previous versions have been fixed. GPT-4 is more attentive to sensitive queries, freer of bias, and less violent rhetoric. 

    OpenAI emphasizes that the new model is not perfect, so it is still possible to see the harmful speech. 

    In addition, while there are improvements in the “accuracy of information” part, it is important to investigate the accuracy of the output and keep in mind that it may be inaccurate. 

    For more details, watch the demo video below or check out the GPT-4 white paper in the source section.

    Sources : 

    Click to access gpt-4.pdf

    Source:Twitter
  • What is ChatGPT and Is It Future Intelligent Robots?

    What is ChatGPT and Is It Future Intelligent Robots?

    ChatGPT is its ability to generate highly coherent and human-like responses

    ChatGPT is a state-of-the-art natural language processing (NLP) model developed by the team at OpenAI. 

    It is based on the original GPT-2 model, which has been widely recognized as one of the most advanced language models available.

    ChatGPT builds on the success of GPT-2 by adding a number of key features that make it more suited to conversation-like tasks. 

    These include the ability to track and maintain context, as well as the ability to generate multiple responses to a given input. 

    This makes ChatGPT an excellent choice for applications such as chatbots, virtual assistants, and other conversational systems.

    One of the key strengths of ChatGPT is its ability to generate highly coherent and human-like responses to a wide range of inputs. 

    This is thanks to its massive training dataset, which includes a large collection of real-world conversations from various sources. 

    This allows ChatGPT to learn the nuances of human conversation and generate responses that are both natural and appropriate for the given context.

    Another key advantage of ChatGPT is its flexibility. 

    It can be fine-tuned for a wide range of applications and tasks, making it a versatile tool for NLP research and development. 

    It is also easy to integrate into existing systems, making it a valuable asset for businesses and organizations looking to improve their conversational capabilities.

    Despite its impressive capabilities, ChatGPT is not without its limitations. 

    One of the main challenges with using large language models like ChatGPT is the need for significant computational resources. 

    Training and using ChatGPT requires a lot of data and a lot of processing power, which can be a barrier for some organizations.

    Additionally, there are concerns about the ethical implications of using large language models like ChatGPT. 

    Some have argued that the ability of these models to generate human-like responses raises questions about the role of AI in society and the potential for abuse.

    Overall, ChatGPT is an exciting development in the field of NLP and conversational AI. 

    Its ability to generate natural and appropriate responses to a wide range of inputs makes it a valuable tool for a variety of applications. 

    A language model is a type of artificial intelligence that is trained to generate human-like text. This can be used for a variety of purposes, such as generating natural-sounding responses in a chatbot or suggesting completions for a partially written sentence.

    One of the most well-known language models is GPT-3, which was also developed by OpenAI. 

    This model is capable of generating coherent and fluent text on a wide range of topics, and it has been used in a variety of applications, such as language translation, summarization, and question-answering.

    One of the benefits of using a language model like GPT-3 is that it can reduce the amount of time and effort required to perform certain language-related tasks. 

    For example, a chatbot powered by a language model can generate responses to user inquiries without the need for human intervention, allowing businesses to provide 24/7 customer support.

    Another potential use for language models is in the creation of content for websites and social media. 

    By training a language model on a large corpus of text, it can learn the style and tone of a particular author or brand and then generate new text that is similar in nature. 

    This can be used to create articles, blog posts, and social media updates, reducing the need for human writers.

    Despite their potential benefits, language models also raise some ethical concerns. 

    Because they can generate human-like text, there is a risk that they could be used to create fake news or manipulate public opinion. 

    It is important for developers and users of language models to consider the potential consequences of their use and take steps to prevent misuse.