Skynet is live: Resistance is futile!
Chatbots, also known as conversational AI, have become increasingly popular in recent years due to advancements in artificial intelligence (AI) and machine learning (ML) as well as the rising popularity of messaging platforms. These digital, text- and messaging- or voice-based applications simulate human conversation and assist with a wide range of tasks, including providing information and support, booking things, and acting as personal assistants. They can also be used to gather information from large groups and assist with business processes. Additionally, search engines use chatbots to crawl the web and archive new pages for future searches. However, it is important to note that chatbots can also be used for malicious purposes, such as spreading computer viruses or artificially inflating views on YouTube videos or web articles.
The term “chatbot” can refer to both rule-based chatbots and conversational AI. Rule-based chatbots, or simply chatbots, are the most basic type of conversational bots and communicate based on pre-set rules. For example, if the customer says “x,” the chatbot will respond with “y.” As a result, the conversation usually offers customers a choice of pre-defined answers, rather than a natural flow of conversation. On the other hand, conversational AI refers to communication technology like chatbots and virtual assistants that use natural language processing (NLP), ML, and conversational design to mimic interactions and create a more natural flow of conversation.
Chatbots have a long history, with ELIZA, created by Joseph Weizenbaum in 1966, being the first chatbot. ELIZA used pattern matching and substitution to simulate conversation and was designed to mimic human conversation. Since then, other notable chatbots have been created, such as PARRY, which simulates a patient with schizophrenia and was created by American psychiatrist Kenneth Colby in 1972; Jabberwacky, created in 1988 by developer Rollo Carpenter and simulates human conversation in an entertaining way; Dr. Sbaitso, a chatbot created by Creative Labs for MS-DOS in 1992 that simulates a psychologist; A.L.I.C.E., a universal language-processing chatbot created by Richard Wallace in 1995 that uses heuristic pattern matching; Siri, an intelligent personal assistant developed by Apple in 2010; Google Now, a personal assistant launched by Google in 2012; and Cortana and Alexa, voice-recognition programs developed by Microsoft and Amazon in 2014 respectively.
Recently, OpenAI released ChatGPT, an AI chatbot that has taken the technology world by storm. With the ability to have human-like conversations, write and revise text, and write code, the technology has the potential to benefit a wide range of people and businesses. The word GPT (Generative Pre-trained Transformer) comes from an OpenAI post in 2020 and refers to a general-purpose “text in, text out” interface, allowing users to try it on virtually any English language task. GPT-3, which was released in 2018, gained significant attention in 2020, and the main difference between versions of GPT is the size of the data used for training. With the growth in computing power and the amount of data generated daily, it is becoming increasingly clear that we have opened Pandora's box in terms of AI's capabilities.
领英推荐
The emergence and power of ChatGPT will likely transform the daily use of AI for businesses. It can be used to improve customer service, automate mundane tasks, and assist with data analysis. For example, ChatGPT can be used to generate human-like responses in customer service chatbots, allowing for more natural and efficient interactions with customers. Additionally, it can be used to automate mundane tasks such as writing email responses or social media posts, freeing up time for employees to focus on more important tasks. Furthermore, ChatGPT's ability to write and revise text can be used to assist with data analysis by automatically summarizing large amounts of information.
It is however important to note that as with any powerful technology, there are also potential risks and challenges associated with the use of ChatGPT. One of the main concerns is the possibility of chatbots being used for malicious purposes, such as spreading false information or impersonating individuals. The use of ChatGPT and other AI technology raises ethical concerns about the potential for job displacement and the need for proper regulation and oversight to ensure that the technology is used in a responsible and ethical manner.
The proliferation of chatbots in recent years can be attributed to advancements in AI and ML, as well as the rising popularity of messaging platforms. ChatGPT, a new AI chatbot released by OpenAI, has the potential to transform the daily use of AI for businesses by improving customer service, automating mundane tasks, and assisting with data analysis. However, it is important to consider the potential risks and challenges associated with the use of ChatGPT and take steps to ensure that it is used in a responsible and ethical manner. This includes collaboration between government, industry, and civil society stakeholders, and to ensure that the development and deployment of AI align with the values and interests of society.
Digital Transformation, Web 3.0, Crypto Land
1 年gm, since the post diggs a bit into the origin of AI / ML I recommend to look and give credit to some of the overlooked giants like Jürgen Schmidthuber from TU Munich and others from Japan, Finland and swizteland. I recommend the following read. https://people.idsia.ch/~juergen/deep-learning-miraculous-year-1990-1991.html#Sec.%202
A Tech-Savvy Professional & FinTech Executive. ??| Crypto ?? | Partnerships ??| Banking ?? Payments ?? Pushing the limits and connecting bright minds and businesses for the mutual success ??
1 年Deffo. Resistance will make own version.. ??