Hi friends, we have been hearing a lot about ChatGPT and OpenAI and how it is going to revolutionize the IT world as well as other industries. In today’s video, we are going to discuss ChatGPT and everything that we need to know about it. Today’s video will be discussed under five heads: the background of ChatGPT, development and training, the objectives, the challenges in further using ChatGPT and developing it, and the use cases of ChatGPT. Let’s begin with the topic.
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ChatGPT is an artificial intelligence language model developed by OpenAI. It is based on the GPT (Generative Pre-trained Transformer) architecture. This architecture is designed to generate human-like text responses for every relevant topic, and that too in a very natural language that we humans can understand.
Well, ChatGPT is a part of OpenAI’s ongoing efforts to create an artificial intelligence language system. It is going to be a conversational artificial intelligence system which will engage with users in coherent and contextually relevant conversations.
Talking about the objectives of ChatGPT, the main objective is to provide a conversational AI system which can understand user input and generate meaningful coherent conversations. It will facilitate interactive and engaging conversations with the users across various domains and topics.
Regarding the development and training of ChatGPT, it goes through various stages. The first stage is data collection. OpenAI collects a huge amount of data in the form of text from across the internet, from sources like books, websites, articles, blogs, and other resources. This data is collected to make sure that the AI model learns from a wide variety of language patterns and styles.
The second stage is full training. In this stage, the model is put on training on the collected data, i.e., the text data, with the help of the Transformer architecture. After the training, the model becomes capable of predicting the next word in a sentence, therefore cracking the grammar, syntax, and the semantic relationship within the language.
The next stage is fine-tuning. After pre-training, the model is fine-tuned on a narrower database, which is created with the help of human reviewers. The human reviewers follow the guidelines provided by OpenAI and they generate certain feedbacks. They rate and review the possible model outputs for various data inputs. After the feedback from the human reviewers, the model goes through the feedback and tries to generate certain responses in a conversational manner with the user.
The last stage in the development and training is iteration and feedback. OpenAI continuously iterates and refines the model based on the feedback from the users and the reviewers. This iterative process helps improve the model’s performance with regard to accuracy, reducing biases, and producing most coherent and relevant responses.
Now let’s discuss the challenges in generating GPT for future use. The first challenge is bias and controversy. Sometimes, OpenAI can generate responses that are biased and controversial in nature, based on the controversial statements included in the input or the data source. OpenAI has to work hard to mitigate these kinds of biases and controversies in the future.
The second challenge is contextual understanding. To ensure that the model remains in context and coherent for longer forms of conversations is still a challenge. Sometimes, the model may generate responses that may seem to be contextually inappropriate and incoherent.
The last and the biggest challenge is ethical concerns. Ethical concerns have been a talk of the town with regard to the use of AI for content creation using human mimicking. The malicious use of this technology for various dangerous purposes is a major concern.
Now let’s talk about the use cases of ChatGPT. ChatGPT has a wide range of use cases. Number one is customer support. ChatGPT can be used for customer support, where it can give automated responses, understanding the queries of the customers and giving them appropriate solutions.
Number two is content creation. ChatGPT can help in content creation, whether it is writing blogs, writing posts, or creating scripts for videos.
Number three is language translation. ChatGPT can be used to translate articles from one language to another while maintaining the context of that particular article.
Number four is education. ChatGPT can serve as a virtual tutor, responding to the queries of children and explaining complex concepts.
Number five is brainstorming. ChatGPT can be used for brainstorming sessions and generating ideas.
In the future, OpenAI will work on improving ChatGPT, refining it, and removing all biases and controversies. It is important for us to upskill ourselves with respect to OpenAI, artificial intelligence, and ChatGPT to remain relevant in the coming times.
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