Even though ChatGPT predicts only one token at a time, its auto-regressive technology is programmed to predict and feed back into the primary model to release the output. The model is tuned to run only once for every token, so the result is printed one word at a time. The output stops...
ChatGPT-4o: The current iteration of GPT-4 and OpenAI’s fastest, most intelligent model. It’s likely the model most users interact with automatically and is suitable for complex tasks like generating detailed reports or coding. You can use this model for free, with usage limits. ChatGPT-...
Bias in training data One of the biggest ethical concerns with ChatGPT is its bias in training data. If the data the model pulls from has any bias, it is reflected in the model's output. ChatGPT also does not understand language that might be offensive or discriminatory. The data needs ...
ChatGPT uses tokens and pieces of words to create words. For example, the worddogis one token, but the wordalligatoris made up of two tokens:allandigator. To create output, ChatGPT calculates the likelihood of one word appearing with other words. However, there...
There are also privacy concerns regarding generative AI companies using your data to fine-tune their models further, which has become a common practice. OpenAI lets you turn off training in ChatGPT's settings. So, is ChatGPT safe? If your main concern is privacy, OpenAI has implemente...
In ChatGPT's case, the service is a text-based tool that can produce human-like responses to user requests — from poetry in the style of William Shakespeare to advice on what to do for a child's birthday party. What's so special about it?
What are the main ChatGPT competitors? Major ChatGPT competitors include Anthropic’s Claude, Google’s Gemini, Meta’s Llama 2 and Jasper AI. What is ChatGPT used for? ChatGPT can be used in everyday and professional contexts for tasks like: ...
ChatGPT is a variant of the GPT (Generative Pretrained Transformer) language model developed by OpenAI for generating human-like text in chatbot conversations. It was trained on a large dataset of real-life conversations, which allows it to generate text
In this McKinsey Explainer, we define what is generative AI, look at gen AI such as ChatGPT and explore recent breakthroughs in the field.
Correction 08 February 2023: This News feature misrepresented Scott Aaronson’s views on the accuracy of watermarking in identifying AI-produced text. Human-produced text might also be flagged as having a watermark, but the probability is extremely low. ...