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ChatGPT: Concepts, Use Cases & limitations

Active 0 Reply 2.0K Views 2022-12-27 13:34:45 AI Websites

What is ChatGPT?

ChatGPT is an open AI system developed by OpenAI to improve the conversational capabilities of AI systems. It was developed specifically for use in chatbots and digital assistants. ChatGPT can be used to understand natural language and recognize what people are saying. Compared to conventional chatbots, it is even able to pick up what has already been said later in the conversation and correct itself if it makes a mistake.

As mentioned, ChatGPT is an AI chatbot with a knack for generating human-like text using natural language processing.

Developed by OpenAI, ChatGPT has been hailed as an alternative to Google as it can provide answers to complex questions, can generate code (although not that well yet), and much more...

Boasting a dialogue format that allows it to engage in follow-up questions, admit errors, challenge faulty premises, and decline inappropriate requests, ChatGPT is the latest iteration of the GPT family of generative AI models.

Trained on a huge amount of internet text (read: the entire internet), ChatGPT has been hailed as a potential rival to Google as it's capable of providing detailed answers to complex queries.

While some have suggested that professions reliant on content creation could be made obsolete by this technology, ChatGPT's lack of nuance and critical thinking skills currently limit its utility in fields such as journalism and least for now.

Limitations of ChatGPT

Despite its impressive abilities, ChatGPT has a glaring limitation that may hinder its usefulness: its knowledge base only extends up until 2021, which means that certain queries and searches are simply impossible for the chatbot to answer.

The AI has also been known to produce incorrect or nonsensical responses, and may even present misinformation as factual.

ChatGPT is fine-tuned from a model in the GPT-3.5 series, which finished training in early 2022. You can learn more about the 3.5 series here. ChatGPT and GPT 3.5 were trained on an Azure AI supercomputing infrastructure.

    ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers. Fixing this issue is challenging, as: (1) during RL training, there’s currently no source of truth; (2) training the model to be more cautious causes it to decline questions that it can answer correctly; and (3) supervised training misleads the model because the ideal answer depends on what the model knows, rather than what the human demonstrator knows.
    ChatGPT is sensitive to tweaks to the input phrasing or attempting the same prompt multiple times. For example, given one phrasing of a question, the model can claim to not know the answer, but given a slight rephrase, can answer correctly.
    The model is often excessively verbose and overuses certain phrases, such as restating that it’s a language model trained by OpenAI. These issues arise from biases in the training data (trainers prefer longer answers that look more comprehensive) and well-known over-optimization issues.12
    Ideally, the model would ask clarifying questions when the user provided an ambiguous query. Instead, our current models usually guess what the user intended.
    While we’ve made efforts to make the model refuse inappropriate requests, it will sometimes respond to harmful instructions or exhibit biased behavior. We’re using the Moderation API to warn or block certain types of unsafe content, but we expect it to have some false negatives and positives for now. We’re eager to collect user feedback to aid our ongoing work to improve this system.


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