Very recently our news feed, YouTube ads, and Instagram posts have been bombarded with something about an alternative to Google Search Engine. You must have seen the ads while scrolling photos or watching videos. It is none other than Chat GPT. But what exactly is this Chat GPT? Why is it suddenly the talk of the town? Why are people referring to it as an alternative to Search engines?
Let us find out in simpler terms.
Chat GPT is suddenly in the news because it was released recently. Open AI released its famous bot Chat GPT on 30th November 2022 and it soon drew more than 1 million users.
Chat GPT is an auto generative AI Chatbot system developed to improve human interactions.
Using Natural Language Processing, this chatbot is a pre-trained interactive tool. Trained from a wide range of inputs like books, articles, and various websites, Chat GPT is a conversational interface used to provide a wide range of applications which is different then the AI tools in the market right now.
With the help of machine learning, a more interactive chatbot is created to respond to human needs. It can help you write essays, or complete poems, create articles or write complicated codes for you. This chatbot provides you information for almost all the questions via AI conversations.
The novel features of Chat GPT are –
- Personalization in terms of answers
- Generate consistent and contextual responses
- Human like text and real conversations
- Suitable for AI system chatbots
- Virtual Assistants
- Response to stories not just short questions
- Learn from human feedback and work on it
So, in simple terms, Chat GPT provides simple and direct answers to any complex question.
It even helps with mathematical solutions, reasoning questions.
Idea behind Chat GPT
To create an interactive and interesting conversational experience for humans, Open AI came up with the idea of collaborating machine learning with natural language processing (NLP). A novel experience used to mimic human conversations.
Thinking about the limitations of the existing chatbots and the interactive conversations, Open AI thought of coming up with something that is more reliable and relatable. To improve accuracy of the results as well the quality. Making it more versatile and handling larger and complex inputs better and reducing latency.
Chat GPT is working on supporting multilingual inputs. The idea was to create conversational interfaces with powerful hardware and optimized algorithms. This can be achieved by working on improving speed so that it can be used as real time applications.
By working on human feedback and with the help of ML, Chat GPT is trying to come up with more specific use cases. When we are talking about a new technology, data privacy and security are always one of the building points.
ChatGPT is able to learn the patterns and nuances of natural conversation and generate responses that are more likely to be relevant and coherent.
How does ChatGPT work?
Chatbots, dialogue systems, and virtual assistants are the primary beneficiaries of ChatGPT and the NLP systems. Before using ChatGPT and making it a part of our day-to-day life, let us quickly look at how exactly ChatGPT works?
Unlike the conventional NLP models of manually labeled data, ChatGPT uses a neural network and unregulated learning in order to generate responses. Using the NN architecture, ChatGPT processes the input text and learns how to respond and what to respond without being told what the correct response is.
The traditional translational model works on an encoder which is used for embedding and decoder which generates the result in a target language. ChatGPT works on only decoder models. The decoder takes the original input and generates the output A. The Output A is used as an input and the process repeats itself. The decoder model is used as it is optimized/ trained to predict the next word(token) in the sequence of the sentence.
This can sometimes give unintended results. That is where ChatGPT preprocessing has improved a lot. It generates biased text and doesn’t blindly follow the user’s prompt.
Based on Reinforcement Learning from Human Feedback (RLHF), this chatbot is a supervised fine-tuning model.
Applications for Businesses
One of the primary reasons for ChatGPT’s overnight success is its applications and benefits for a number of businesses. Almost all product based companies need IT support for smooth functioning and customer satisfaction.
ChatGPT can help in virtual assistance to the customers. The conversational interfaces can increase engagement and customer experience and increase customer loyalty. The overhead cost to set up customer service representatives can be reduced significantly by using ChatGPT.
Unlike existing chatbots, ChatGPT works by giving a personalization to its customers. It even reduced the response time to the customer and helps in resolving numerous queries in no time.
ChatGPT can independently create AI conversations without a need of human intervention. But at the same time, it uses NLP to generate natural and real conversations which are easy for humans to understand.
The most important advantage is that ChatGPT can be deployed in large scale applications making it ideal for huge companies and MNCs.
It can give quality and coherent results very quickly making it fit for real time conversations and problem solving.
The Future of AI
With the introduction of Machine Learning, human life has already become so much easier. The machines remember our choices more than we do, analyzing our habits, suggesting better habits, ideas and even diets. Integrating chatbots with the advancements of machine learning and Natural Language Processing (NLP) is the next big thing for AI conversations.
ChatGPT, widely popular for understanding and responding in natural language easily understood by humans, solves the age-old problem of customer services and virtual assistance. For company recruitment, ChatGPT and its generative pre-trained transformer can help in filtering the resumes with expected skill sets, saving costs and human time.
These Open AI chatbots have the potential to be helpful in booking Uber cabs, buying a place ticket and avoiding conflict and human error.
In medical fields, where there is no scope of AI failure as it can really cause a catastrophe. ChatGPT can help give precise medical information and give personalized medical advice depending on the diagnosis of the patient.
For business intelligence, where AI is already used tremendously to predict the behavior, market trends, and forecast the business revenues. ChatGPT can help in enhancing the real time insights about the business and the revenue patterns and build a shield from the external recessions.
ChatGPT with its ability to write essays, poems and even content helps AI to become more creative with its approach to real conversations or human interactions.
Limitations
Although ChatGPT is the latest AI model for interactive conversations, it still needs to work in a few areas –
- It needs to improve contextual understanding
Though it works on ML and feedback mechanisms, ChatGPT is working continuously to improve its contextual understanding. To stick to the topic and not divert with immediate responses even after a huge conversation with humans.
- It requires a large data set for training
A large amount of data sets, patterns and structures of natural language are required to train ChatGPT to be more precise and relatable. It still sometimes doesn’t justify the nature of human conversations and diversity in language.
- Largely reliant on Machine Learning
As long as the data set is accurate and unbiased, ChatGPT can give an unbiased solution to the users. In some sensitive or controversial areas, it is very important to train the ChatGPT to give a balanced answer. Machine Learning models need to be improved to handle all such expectations and prevent any misinformation or negative stereotypes to be spread.
- ChatGPT is sensitive to tweaks
A slight change or phrasing of the input can change the output completely.
For example, asking a question in a certain way, the model would not return with an answer, but a slight rephrasing of the sentence, can give a different set of results.
- Heavy and Complex Models
One such limitation of ChatGPT is its complex and computational nature. These programs need a particular type of setups/devices and applications to run and don’t work on low-power devices.
Open AI is working to overcome the limitation of ChatGPT in the GPT-3.5 series. Once the algorithm is trained with a wide range of inputs and data sets, ChatGPT will autonomously learn to respond in the natural and human languages.
Conclusion
WIth the integration of NLP and Machine Learning, ChatGPT is working to make the chatbots interactions more effective and user friendly. Not just to provide solutions, but give away a qualitative response and reduce the time taken for the requests to get completed. With the large amount of data sets and neural network architecture, ChatGPT is the future of Artificial Intelligence and gives a wide range of applications. Right from booking tickets, to customer services, medical help, business assistance, these chatbots are the advanced level virtual assistants.
For now, to experience the ChatGPT, you just have to go to the OpenAI’s Chat GPT website and test it for free in the browser. There is no specific app as such and it can be directly used on desktop and mobile websites. Just make an account, and give it a try. ChatGPT can help you with different things and answer multiple questions with relevant information eliminating all the unnecessary ads and links.