Many of us are familiar with the concept of what a “chatbot” is and what it is supposed to do. But this year, OpenAI’s ChatGPT turned a simple experience into something entirely different. ChatGPT is being seen as a path-breaking example of an AI chatbot and what the technology could achieve when applied at scale.
- ChatGPT by OpenAI: Artificial Intelligence (AI) research company OpenAI on recently announced ChatGPT, a prototype dialogue-based AI chatbot capable of understanding natural language and responding in natural language.
- Will be able to implement in software soon: So far, OpenAI has only opened up the bot for evaluation and beta testing but API access is expected to follow next year. With API access, developers will be able to implement ChatGPT into their own software.
- Remarkable abilities: Even under its beta testing phase, ChatGPT’s abilities are already quite remarkable. Aside from amusing responses like the pumpkin one above, people are already finding real-world applications and use cases for the bot.
ChatGPT is a chatbot built on a large-scale transformer-based language model that is trained on a diverse dataset of text and is capable of generating human-like responses to prompts.
- A human-like language model: It is based on GPT-3.5, a language model that uses deep learning to produce human-like text.
- It is more engaging with details: However, while the older GPT-3 model only took text prompts and tried to continue on that with its own generated text, ChatGPT is more engaging. It’s much better at generating detailed text and can even come up with poems.
- Keeps the memory of the conversations: Another unique characteristic is memory. The bot can remember earlier comments in a conversation and recount them to the user.
- Human-like resemblance: A conversation with ChatGPT is like talking to a computer, a smart one, which appears to have some semblance of human-like intelligence.
- ChatGPT is not entirely accurate: It is not entirely accurate, something even OpenAI has admitted. It is also evident that some of the essays written by ChatGPT lack the depth that a real human expert might showcase when writing on the same subject.
- ChatGPT lacks depth like the human mind: It doesn’t quite have the nuance that a human would often be able to provide. For example, when asked ChatGPT how one should cope with a cancer diagnosis. The responses were kind but generic. The type of responses you would find in any general self-help guide.
- It lacks the same experiences as humans: AI has a long way to go. After all, it doesn’t have the same experiences as a human.
- ChatGPT doesn't excel in code: ChatGPT is writing basic code. As several reports have shown, ChatGPT doesn’t quite excel at this yet. But a future where basic code is written using AI doesn’t seem so incredible right now.
- ChatGPT is still prone to Misinformation: Despite of abilities of the bot there are some limitations. ChatGPT is still prone to misinformation and biases, which is something that plagued previous versions of GPT as well. The model can give incorrect answers to, say, algebraic problems.
- ChatGPT can write incorrect answers: OpenAI understands some flaws and has noted them down on its announcement blog that “ChatGPT sometimes writes plausible-sounding but incorrect or nonsensical answers.
- OpenAI’s ChatGPT turned that simple experience into something entirely different. ChatGPT is a path-breaking example of an AI chatbot and what the technology could achieve when applied at scale.
- Limitations aside, ChatGPT still makes for a fun little bot to interact with. However, there are some challenges that need to be addressed before it becomes an unavoidable part of human life.
