OpenAI is well-known for DALL·E, a deep-learning system that can form realistic images from a description in a natural language called prompts.
Recently, OpenAI has unveiled a long-form question-answering AI called ChatGPT that answers complex queries conversationally.
The dialogue structure of the model allows ChatGPT to respond to follow-up queries, challenge faulty premises, accept its mistakes, and reject unethical requests.
What Exactly is ChatGPT?
ChatGPT is an OpenAI-developed large language model chatbot based on GPT-3.5. It’s a game-changing technology as it’s trained to understand the meaning behind the questions asked by a human. Many users are impressed by its capacity to produce human-quality replies, raising the possibility that it may soon have the ability to disrupt how humans interact with computers and transform how information is acquired.
Large language models undergo the task of anticipating the next word in a succession of words. Reinforcement Learning with Human Feedback (RLHF) is yet another layer of training that utilizes human feedback to assist ChatGPT in learning how to follow directions and provide human-satisfactory responses.
Who Developed ChatGPT?
ChatGPT is the creation of OpenAI, an artificial intelligence research organization. Its objective is to create or assist others in creating a “safe and useful” artificial general intelligence system. It’s made headlines before, first with GPT-3, which can produce text that sounds like a person wrote it, and then with DALL-E.
The GPT-3 and GPT 3.5 updates, built on ChatGPT, are two instances of AI technology known as large language models. They are trained to generate text depending on what they have observed, and they can be trained automatically – generally with massive amounts of computer power over a couple of weeks. For instance, the training process may locate a random piece of text, eliminate a few words, request the AI to fill in the blanks, compare the outcome to the original, and then award the AI system for being fairly close to the original as feasible. Repetition can lead to a sophisticated capacity to produce text.
What Can Large Language Models Do?
ChatGPT is a Large Language Model. LLMs – Large Language Models are trained using a sizable amount of data to anticipate which word will appear next in a sentence. It was revealed that increasing the amount of data enabled the language models to perform much more.
LLMs can anticipate the next word in a sequence of words in a phrase and subsequent sentences – similar to auto-complete, but at a mind-baffling scale. This capacity enables them to produce paragraphs and entire pages of text. However, LLMs have limitations because they may not always grasp what a person wants. But with the aforementioned Reinforcement Learning with Human Feedback (RLHF) training, ChatGPT outperforms the competition.
Explained Limitations of ChatGPT by OpenAI
Incorrect plausible-sounding answers
At times ChatGPT provides answers that sound reasonable but need to be revised or corrected. Resolving this issue has its challenges:
➤ As of now, there’s no source of truth during the RL training.
➤ Also, if the model is trained to be more alert, it causes it to turn down the queries it can answer correctly; and
➤ Supervised training deceives the model as the correct answer is based on the model’s knowledge rather than what is known to the human demonstrator.
Limitation on Responding in a Toxic Manner
ChatGPT is particularly engineered not to respond in a damaging manner. As a result, it can avoid answering such inquiries. Nonetheless, it occasionally reacts to harmful directions or demonstrates biased behavior.
Expert Directions Result in Better Responses
One significant disadvantage of ChatGPT is that the output quality depends on the input quality. ChatGPT is sensitive to small changes in the input phrase or repeated attempts at the same prompt. For example, given one wording of a question, the model can claim ignorance, but given a little rephrasing, it can accurately answer.
According to OpenAI, despite several limitations, there are plans to make regular model changes to improve in such areas. Furthermore, by making ChatGPT available, they anticipate receiving valuable user feedback on issues they must be aware of.
ChatGPT is undoubtedly paving the path for our technological future.
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