A Summary of the historically important events that conventionalized and materialized the God in a box that we know as ChatGPT.
By: Gurleen Kaur
Chatbots
Chatbots are software applications that simulate human conversation. They follow a set of pre-designed rules to mimic real-life interactions and answer customer questions. Additionally, chatbots that employ artificial intelligence (AI) and natural language processing (NLP) are able to interpret these exchanges almost as well as a human.
Using chatbots, you can immediately engage website visitors with personalized messaging. Additionally,
- Analyze historical conversation data to learn what queries individuals are asking.
- Analyze the right responses to those questions.
- Learn context using NLP and machine learning, and improve your response times over time.
1966: ELIZA
MIT professor Joseph Weizenbaum created the ELIZA programme in 1966 with the intention of deceiving its users into thinking they were speaking with a real person. ELIZA was created to mimic a therapist who would pose open-ended queries and even provide follow-up questions.
In terms of chatbots, ELIZA is regarded as being the first in computer science history. In order to recreate a response using keywords from pre-programmed responses, ELIZA works by identifying important words or phrases from the input. For example, a human would remark, “My mother makes delicious food.” When ELIZA heard the word “mother,” she would say, “Tell me more about your family,” and then pause.
Despite being a computerized procedure, this gave the impression that one was comprehending and interacting with a real person.
1995: A.L.I.C.E
Dr. Richard Wallace developed the Artificial Linguistic Internet Computer Entity (ALICE) back on November 23, 1995.The most significant figure to emerge following ELIZA, ALICE was inspired by ELIZA. Instead of utilizing more complex NLP methods, she uses a set of rules that compare user input to patterns to assist her decide how to reply. Despite this, the chatbot ALICE is capable of handling linguistic complexity and may be rather fun to converse with.
A brief conversation with the ALICE chatbot reveals both how advanced she is and her limitations. The answers that ALICE bot gives in response to inquiries or assertions are very typical. Although ALICE is polite and friendly, when she encounters a topic that she doesn’t know or comprehend, she will divert the conversation by posing a different question that may hold no significance at all.
2001: Smarterchild
The friend list of millions of American Online Instant Messenger (AIM) users contained a robot named SmarterChild. He was by far the most of people’s first encounter with AI. This journey appears to be unattainable without SmarterChild as we consider creating computers in human likeness and consider the future of AI.
When pinging the SmarterChild robot, you could do various beneficial activities. In theory, you could ask him for the weather, movie times, stock quotes, or other pertinent information. In other words, it canbe referred to as an upgraded version of ALICE and ELIZA with a little emotion and definitely a lot of humor and sarcasm.
2010: Siri
Siri, introduced by Apple about ten years ago, can manage several areas of your life while being private and secure. It can sound natural, answer questions in a conversational manner, recall previous discussions, and handle various aspects of your life.
The intelligent speech assistant known collectively as Siri is a part of almost every Apple product. It also encompasses all of the machine learning and on-device intelligence technologies employed for intelligent suggestions. When it first launched, Siri was merely a task manager that could carry out straightforward instructions. In an effort to keep up with the competition, Apple has gradually added features and increased Siri’s intelligence.
2022: ChatGPT
Due to key launches that have occurred recently, AI has taken over the web and opened doors to an unknown future where many of us feel a little uneasy about so many technologies replacing human operations and now leading the pack is none other than the ChatGPT 3.5 that has surely taken the world by a storm attaining the title of God in a Box. Launched around 2 weeks back, the ChatGPT 3.5 by OpenAi is now available in the Whatsapp messenger .
This is an advancement of earlier OpenAI technologies. The technology is known as Generative Pre-Taught Transformers (GPTs) by the firm, meaning that it was trained utilizing Reinforcement Learning from Human Feedback (RLHF).
Humans played both the user and the AI assistant in the training, and their rank and feedback were gathered to improve the responses. With user feedback, OpenAI is now sure that ChatGPT can develop even further. What makes Chat GPT unique is that in addition to answering normal questions, it also creates basic academic writings, rom-com scripts, and teaches codes and scientific topics.
The working of ChatGPT
To use ChatGPT, a vast volume of text data is initially fed to the model, which it uses to understand the linguistic structures and patterns of human language. When given a prompt or a starting point, the model uses this knowledge to create its own natural language text. Because ChatGPT uses a Transformer network architecture, it can process text data quickly and produce text with excellent quality.
ChatGPT can be used in chatbot systems to create conversational answers to user input. In order to deliver pertinent and precise responses to user inquiries, the model can be trained on a particular domain or issue, such as customer service or language translation. This enhances the user experience by enabling chatbots to converse with users in a more human-like manner.
The benefits of using ChatGPT
Due to it’s major feature of being trained on a larger dataset,
- ChatGPT is able to execute a variety of natural language processing tasks, such as answering questions, delivering information, and making suggestions, more quickly and effectively.
- It can be utilized in language translation services to deliver real-time text data translation, facilitating interlingual communication between people.
- It can enhance user experience by making human-machine communication simpler and more natural. Users may interact more easily as a result, which can enhance the user experience as a whole.
Real-world applications of ChatGPT
- Chatbot or virtual assistant: A chatbot or virtual assistant application can use the model once it has been trained on a bigger dataset. The ChatGPT model receives text input from the user and uses it to produce a natural-language response when the user clicks a button. The user would then receive the response from the chatbot or virtual assistant, enabling for a dialogue that felt more intuitive and natural.
2. Language Translation services: The model can be incorporated into a language translation service once it has been trained. The ChatGPT model will provide a translation in the desired language when a user enters text in one language, and the translation service will transfer the text to the model. The user would then receive the translated text back from the translation service, enabling real-time translation of text data.
3. Customers Service and support: The model can be incorporated into a customer support application once it has been trained. The customer service application would send a user’s inquiry or problem to the ChatGPT model, which would produce a natural-language response. The user would then receive the response through the customer care tool, enabling for an interaction that felt more intuitive and natural.
The future of ChatGPT and AI communication
ChatGPT and other language models will probably grow more potent and capable of producing text that is even more comparable to human language as AI technology advances. As a result, ChatGPT might be applicable to a wider range of tasks, including automated writing and content creation.
Additionally, ChatGPT will probably be incorporated into an increasing number of common technologies in the future of communication between AI and ChatGPT. For instance, ChatGPT might be incorporated into virtual assistants like Siri and Alexa to enhance their comprehension of and responses to natural language inquiries. To help chatbots and other automated customer care systems respond to consumer inquiries in a timely and correct manner, ChatGPT may also be employed in these systems.
All things considered, ChatGPT and other language models have the potential to change a number of businesses by increasing the effectiveness and efficiency of jobs involving natural language processing as well as by enhancing the customer experience across a number of industries.
Summary
In conclusion, ChatGPT is a potent language model that could revolutionize how we communicate with machines. ChatGPT can increase the efficacy and efficiency of a variety of jobs by enabling computers to comprehend and produce natural language text. It can also make it simpler and more comfortable for people to communicate with machines.
However, like with any technology, it’s crucial to think about how employing ChatGPT and other AI in communication might affect morality. In order to ensure that AI systems are utilised ethically and in a way that is advantageous for society, it will be necessary to build ethical frameworks and norms for their use.
In general, ChatGPT has a tremendous potential to change how we engage with machines, so it will be crucial to carefully explore the ethical ramifications of employing this technology in the future.
Conclusion:
- This was a brief about the ChatGPT and how it evolved through a series of similar models.
- In the following articles, I will likely discuss more about various Data Science projects and a few other technologies that are proving to be tough competition to ChatGPT 3.5.
- Follow me for more upcoming data science, Machine Learning, and artificial intelligence articles.
Final Thoughts and Closing Comments
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