What is ChatGPT, and its possible use cases?
ChatGPT is a chatbot development tool that utilizes NLP to allow developers to create chatbots that can understand and respond to user input naturally and conversationally. It was released as a free research preview/prototype in November 2022. It is powered by a machine learning model called GPT-3, developed by OpenAI and considered one of the most advanced NLP models to date. For those wondering why so many abbreviations and acronyms are used here and what they mean, here’s the entire flow of information!
GPT denotes ‘Generative Pre-training Transformer’ and is an AI-powered language model. “Pre-trained” implies it is based on a database of text/words, allowing it to understand the patterns & structure of natural language. Hence the responses are conversational. It takes in the context of the query and adapts itself to that.
The “transformational” structure can efficiently process long data sequences. It has layers that can prioritize words or phrases in each input. Then the model understands the context and meaning of the information better. The result is that you get better and more coherent responses. ‘Feed-forward layers’ and ‘residual connections’ enable the model to understand complex patterns. Overall, this leads to a better capture of different words and phrases.
What are the features of ChatGPT?
ChatGPT is written in the GPT-3.5 language technology, an artificial intelligence model made by OpenAI. It has been trained on a massive amount of text data from various sources. What makes GPT distinct is that it generates near-human text based on its prediction capability. You ‘talk’ to it, and it works out the following word in the sequence based on all the words you have used earlier. It would be tough to distinguish what GPT generates from what an actual human would say. This means it is valuable for language translation, generating text, chatbot responses, or any other flow where a natural conversational flow is needed.
ChatGPT follows the earlier models from OpenAI, like InstructGPT, GPT-3, and Codex. It is fine-tuned from an earlier model of the GPT-3.5 series, which ended its trial/training period in the first half of 2022.
How does ChatGPT work?
If curiosity got the better of your patience, chances are you have ChatGPT open on a simultaneous tab on your device! While you wonder at the smoothness of answers from this AI tool, here’s what we know about how it works:-
- The model has been trained using RLHF – Reinforcement Learning from Human Feedback
- Data collection is done slightly differently than the earlier models through a more supervised, fine-tuned method.
- Human AI trainers come up with conversations in which they play both the user and the AI assistant.
- These trainers have model-written suggestions to assist them in composing responses.
- The new database was combined with the earlier InstructGPT data and transformed into a dialogue format.
- Comparison data is collected from two or more model responses, ranked by quality – information is collected from conversations that AI trainers had with the chatbot.
- Several iterations of this process are conducted, and the model is fine-tuned.
