ChatGpt - Myth, Reality and Future

Myth :

ChatGPT will replace Google ?

No ChatGPT is not to replace google. We shouldn’t compare apple to mango. Google is advance search engine which uses Crawling and indexing to help your site rank in search results.

Whereas ChatGPT is an AI-powered conversational agent or chatbot, based on the GPT-3.5 architecture, developed by OpenAI. It is designed to understand natural language input and generate human-like responses to a wide range of queries and conversations. ChatGPT is trained on a massive corpus of text data, allowing it to learn and understand various topics and fields of knowledge, including science, literature, history, and more. With ChatGPT, users can engage in a seamless, natural conversation with an AI-powered chatbot that can provide helpful answers, make suggestions, and assist with tasks

ChatGPT

ChatGPT is not new. It is a conversational chatbot. There have been countless applications like it over the past few years.Anyone who knows customer relationship management knows this. Just visit any site with an online chat, or respond to a text from your pharmacy reminding you of prescription renewal or answer a question posed by an automatic telephone system or confirm a dentist appointment via text

ChatGPT is always right: While ChatGPT can generate responses based on patterns and correlations in its training data, it is not always accurate or correct. It can also produce biased or inappropriate responses, especially if the input data it’s trained on contains biases or inaccuracies

Reality :

ChatGPT was created by OpenAI, an AI and research company. The company launched ChatGPT on Nov. 30, 2022. ChatGPT is an artificial intelligence language model created by OpenAI. It is based on the GPT-3 architecture and is designed to generate human-like responses to natural language prompts. ChatGPT is capable of understanding and responding to a wide variety of topics and contexts, and can engage in conversations with users in a way that is similar to how humans converse. It is used in various applications, such as chatbots, virtual assistants, and language translation services.

ChatGPT is an artificial-intelligence chatbot developed by AI research company OpenAI. Released in November 2022, it can have conversations on topics from history to philosophy. ChatGPT is trained on a vast compilation of articles, images, websites and social-media posts scraped from the internet as well as real-time conversations—primarily in English—with human contractors hired by OpenAI. It learns to mimic the grammar and structure of writing and reflects frequently used phrases.

The technology that underlies ChatGPT is referenced in the second half of its name, GPT, which stands for Generative Pre-trained Transformer. Transformers are specialized algorithms for finding long-range patterns in sequences of data. A transformer learns to predict not just the next word in a sentence but also the next sentence in a paragraph and the next paragraph in an essay. This is what allows it to stay on topic for long stretches of text.

ChatGPT is free. OpenAI released the chatbot as a research preview and users can try it through a dedicated website. On Feb. 1, OpenAI also launched a premium version for $20 a month, starting in the U.S., that will give subscribers priority access.

Both Microsoft and OpenAI plan to release an API, or application programming interface, allowing companies to integrate the technology into their products or back-end solutions. Microsoft’s API will be available through its Azure cloud-computing platform. Both companies already offer OpenAI’s earlier AI technologies.

AI chatbots and other generative AI programs are mirrors to the data they consume. They regurgitate and remix what they are fed to both great effect and great failure. Transformer-based AI program failures are particularly difficult to predict and control because the programs rely on such vast quantities of data that it is almost impossible for the developers to grasp what that data contains.

ChatGPT, for example, will sometimes answer prompts correctly on topics where it ingested high-quality sources and frequently conversed with its human trainers. It will spew nonsense on topics that contain a lot of misinformation on the internet, such as conspiracy theories, and in non-English languages, such as Chinese.

ChatGPT is a chatbot that uses elements of artificial intelligence to communicate with people in a human-like way, as well as generate unique text. It can answer questions, compose essays, offer advice and much more. At its most basic level, ChatGPT is simply a form of generative AI, meaning it can automatically produce written content. It is also a form of conversational AI, so it is capable of carrying on a fluent, natural dialogue with humans.

ChatGPT is powered by a large language model, or LLM, which comprises neural networks that predict word sequences, generating sentences similar to how a human would write or speak them. The LLM manages to do this after being trained on a large corpora of data — written content on the internet that can include everything from Wikipedia articles to research papers.

In order to sift through the several terabytes of data across the internet and transform that into text, ChatGPT uses a technique called transformer architecture — hence, the “T” in its name. “GPT” is short for general pre-trained transformer, which is a language model that uses deep learning to generate natural, human-like text based on a given text input.

The language models used in ChatGPT are specifically optimized for dialogue and were trained using a novel approach called reinforcement learning from human feedback, or RLHF, which incorporates human feedback into the training process so it can better align its outputs with user intent. “It actually integrates and systematizes humans’ subjective judgment into the model training process,” Stone said. This is used to not only help the model determine the best output, but it also helps improve the training process, enabling it to answer questions more effectively.

In practice, LLM models give the probability of a certain word or sequence as being “valid,” meaning it resembles how people write, which is what the language model learns, wrote Built In expert contributor and data scientist Mór Kapronczay.

Sequences generated don’t necessarily have to be language, as it is with ChatGPT. They can also be numerical sequences, or time series. “It just happens to be that language is so ubiquitous that it’s the most useful type of sequence to predict,” Sam Stone, the director of product management, pricing and data products at real estate tech firm Opendoor, told Built In.

Often deployed through a long short-term memory model, or LSTM, the LLM takes a sequence of words a user gives it, such as a half-completed sentence, and fills in the blanks with the most statistically probable word given the surrounding context. This happens iteratively, building from words to sentences, to paragraphs, to pages of text.

Future :

Despite the excitement surrounding AI technologies like OpenAI’s ChatGPT, whose fourth-generation large language model GPT-4 is expected to be released next week, the discussion regarding the technology’s potential impact on the current job market appears to be going unnoticed.

The advocates of automation, artificial intelligence, and any other type of technology are continuing to assert that they will not replace the human workforce; rather, they will create more jobs and opportunities. However, the opponents appear to disagree. AI experts predict a future in the ChatGPT.

GPT-3 (Generative Pretrained Transformer 3) and GPT-4 are state-of-the-art language processing AI models developed by OpenAI. They are capable of generating human-like text and have a wide range of applications, including language translation, language modelling, and generating text for applications such as chatbots. GPT-3 is one of the largest and most powerful language processing AI models to date, with 175 billion parameters.

Its most common use so far is creating ChatGPT - a highly capable chatbot. To give you a little taste of its most basic ability, we asked GPT-3's chatbot to write its own description as you can see above. It’s a little bit boastful, but completely accurate and arguably very well written.

In essence, GPT-4 is the same as its predecessor GPT-3. However, there are some new features that boost the software's abilities.

Mainly, GPT-4 includes the ability to drastically increase the number of words that can be used in an input... up to 25,000, 8 times as many as the original ChatGPT model.

Equally, OpenAI has stated that the latest version of their technology makes fewer mistakes that they are calling 'hallucinations'. Previously, ChatGPT could become confused, offering up a nonsensical answer to your question, or even inputting stereotypes or false information.

Additionally, GPT-4 is better at playing with language and expressing creativity. In OpenAI's demonstration of the new technology, ChatGPT was asked to summarise a blog post only using words that start with the letter 'g'. It also has a better understanding of how to write poetry or creative writing, but it is still by no means perfect.

GPT-3 was already being adapted by a lot of big companies, inputting the technology into search engines, apps and software, but OpenAI seems to be pushing GPT-4 even harder.

Microsoft's Bing is the main user of the technology right now, but OpenAI has reported that the software is being used by companies like Khan Academy to help students with coursework and give teachers ideas for lessons.

Equally, the language-learning app Duolingo has got involved with something called 'Duolingo Max' with two features. One will help explain why your answer to a question was right or wrong, the other will setup role plays with an AI to play out language in different scenarios.

More companies are adopting this technology, including the payment processing company Stripe and customer service brand Intercom.