Generative Pre-trained Transformer

The last three letters in ChatGPT's namesake aren't just a catchy part of the name. They stand for Generative Pre-trained Transformer (GPT), a family of LLMs created by OpenAI that uses deep learning to generate human-like, conversational text.General-purpose technology, in economics. Generalized probabilistic theory, a framework to describe the features of physical theories. Grounded practical theory, a social science theory.How to build your own custom ChatGPT

1. Go to chat.openai.com and log in.
2. In the sidebar, click Explore.
3. Click Create a GPT.
4. Enter your instructions in the message box of the Create page.
5. Click Configure to add advanced customizations to your AI assistant.
6. Click Save, and select how you want to share your custom GPT.

How does ChatGPT actually work : ChatGPT is a natural language processing (NLP) tool. It uses artificial intelligence (AI) and machine learning technology to generate responses to user text inputs. It means you can get access to a super-smart chatbot trained on a huge set of data.

Is ChatGPT free

An advanced version of gpt4. And it will be available to chatgpt-free users that's right chat GPT for free this new model brings faster. And more efficient performance across text voice.

Who owns ChatGPT : OpenAI LP

Chat GPT is owned by OpenAI LP, an artificial intelligence research lab consisting of the for-profit OpenAI LP and its parent company, the non-profit OpenAI Inc.

OpenAI

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company.

ChatGPT works through its Generative Pre-trained Transformer, which uses specialized algorithms to find patterns within data sequences. ChatGPT originally used the GPT-3 large language model, a neural network machine learning model and the third generation of Generative Pre-trained Transformer.

Is ChatGPT safe

Still, if you're asking yourself, "Is ChatGPT safe to download”, the answer is “Yes, but only from a reliable source.” ChatGPT is trained with vast amounts of data, including books, articles, and websites, and it reflects the opinions shared by the authors.ChatGPT Maker OpenAI Brings Back Sam Altman as CEO.Sometimes, ChatGPT sounds convincing, but it might give you incorrect or misleading information (often called a “hallucination” in the literature). It can even make up things like quotes or citations, so don't use it as your only source for research.

Security and privacy concerns: ChatGPT requires access to user data to provide accurate responses, which raises concerns about data privacy and security. Users need to be careful about the information they share with ChatGPT and ensure that they are using a secure platform to interact with the AI language model.

Why can’t ChatGPT be trusted : The lack of transparency and open-source code hinders the ability to provide reliable software on a platform that undergoes undocumented changes.

Is ChatGPT lying to me : Data hallucination describes the phenomenon whereby Chat GPT gives a false or misleading answer to a question. This happens more often than you might expect, leading experts to advise caution in relying too much on the veracity of Chat GPT output.

Is ChatGPT a danger to Google

Last but not least, this is the significant feature that makes ChatGPT a financial nightmare for Google! We know that Google crawls billions of web pages, indexes, and ranks the content in order of the most relevant responses. It then generates a list of links for users to click on.

AI tools like ChatGPT are trained to predict strings of words that best match your query. They lack the reasoning, however, to apply logic or consider any factual inconsistencies they're spitting out. In other words, AI hallucinations occur when the AI goes off the rails trying to please you.The researchers demonstrated how seven commonly used GPT detectors are so primitive that they are both easily fooled by machine generated essays and improperly flagging innocent students. Layering several detectors on top of each other does little to solve the problem of false negatives and positives.

Is AI still hallucinating : If an AI model is trained on a dataset comprising biased or unrepresentative data, it may hallucinate patterns or features that reflect these biases. AI models can also be vulnerable to adversarial attack, wherein bad actors manipulate the output of an AI model by subtly tweaking the input data.