What is ChatGPT And How Can You Use It?

What is ChatGPT And How Can You Use It?

This is what ChatGPT is and why it may be the most important tool since modern search engines

OpenAI introduced a long-form question-answering AI called ChatGPT that answers complex questions conversationally.

Many users are awed at its ability to provide human-quality responses, inspiring the feeling that it may eventually have the power to disrupt how humans interact with computers and change how information is retrieved.

What Is ChatGPT?

ChatGPT is a large language model chatbot developed by OpenAI based on GPT-3.5. It has a remarkable ability to interact in conversational dialogue form and provide responses that can appear surprisingly human.

Large language models perform the task of predicting the next word in a series of words.

Reinforcement Learning with Human Feedback (RLHF) is an additional layer of training that uses human feedback to help ChatGPT learn the ability to follow directions and generate responses that are satisfactory to humans.

Who Built ChatGPT?

ChatGPT was created by San Francisco-based artificial intelligence company OpenAI. OpenAI Inc. is the non-profit parent company of the for-profit OpenAI LP.

OpenAI is famous for its well-known DALL·E, a deep-learning model that generates images from text instructions called prompts.

Large Language Models

ChatGPT is a large language model (LLM). Large Language Models (LLMs) are trained with massive amounts of data to accurately predict what word comes next in a sentence.

The CEO is Sam Altman, who previously was president of Y Combinator.

It was discovered that increasing the amount of data increased the ability of the language models to do more.

According to Stanford University:

“GPT-3 has 175 billion parameters and was trained on 570 gigabytes of text. For comparison, its predecessor, GPT-2, was over 100 times smaller at 1.5 billion parameters.

This increase in scale drastically changes the behavior of the model — GPT-3 is able to perform tasks it was not explicitly trained on, like translating sentences from English to French, with few to no training examples.

What is ChatGPT And How Can You Use It?

This is what ChatGPT is and why it may be the most important tool since modern search engines.

OpenAI introduced a long-form question-answering AI called ChatGPT that answers complex questions conversationally.

It’s a revolutionary technology because it’s trained to learn what humans mean when they ask a question.

Many users are awed at its ability to provide human-quality responses, inspiring the feeling that it may eventually have the power to disrupt how humans interact with computers and change how information is retrieved.

What Is ChatGPT?

ChatGPT is a large language model chatbot developed by OpenAI based on GPT-3.5. It has a remarkable ability to interact in conversational dialogue form and provide responses that can appear surprisingly human.

Large language models perform the task of predicting the next word in a series of words.

Reinforcement Learning with Human Feedback (RLHF) is an additional layer of training that uses human feedback to help ChatGPT learn the ability to follow directions and generate responses that are satisfactory to humans.

Who Built ChatGPT?

ChatGPT was created by San Francisco-based artificial intelligence company OpenAI. OpenAI Inc. is the non-profit parent company of the for-profit OpenAI LP.

OpenAI is famous for its well-known DALL·E, a deep-learning model that generates images from text instructions called prompts.

The CEO is Sam Altman, who previously was president of Y Combinator.

Microsoft is a partner and investor in the amount of $1 billion dollars. They jointly developed the Azure AI Platform.

Large Language Models

ChatGPT is a large language model (LLM). Large Language Models (LLMs) are trained with massive amounts of data to accurately predict what word comes next in a sentence.

It was discovered that increasing the amount of data increased the ability of the language models to do more.

According to Stanford University:

“GPT-3 has 175 billion parameters and was trained on 570 gigabytes of text. For comparison, its predecessor, GPT-2, was over 100 times smaller at 1.5 billion parameters.

This increase in scale drastically changes the behavior of the model — GPT-3 is able to perform tasks it was not explicitly trained on, like translating sentences from English to French, with few to no training examples.

This behavior was mostly absent in GPT-2. Furthermore, for some tasks, GPT-3 outperforms models that were explicitly trained to solve those tasks, although in other tasks it falls short.”

LLMs predict the next word in a series of words in a sentence and the next sentences – kind of like autocomplete, but at a mind-bending scale.

This ability allows them to write paragraphs and entire pages of content.

But LLMs are limited in that they don’t always understand exactly what a human wants.

And that’s where ChatGPT improves on state of the art, with the aforementioned Reinforcement Learning with Human Feedback (RLHF) training.

This behavior was mostly absent in GPT-2. Furthermore, for some tasks, GPT-3 outperforms models that were explicitly trained to solve those tasks, although in other tasks it falls short.”

How Was ChatGPT Trained?

GPT-3.5 was trained on massive amounts of data about code and information from the internet, including sources like Reddit discussions, to help ChatGPT learn dialogue and attain a human style of responding.

ChatGPT was also trained using human feedback (a technique called Reinforcement Learning with Human Feedback) so that the AI learned what humans expected when they asked a question. Training the LLM this way is revolutionary because it goes beyond simply training the LLM to predict the next word.