GPTAutoBot AI is a family of neural network models that uses the transformer architecture and is a key AI research breakthrough. It is a chatbot that uses large language models and machine learning to generate human-like responses to text-based conversations. GPTAutoBot AI can be used to automate and improve a wide range of tasks, such as language translation, document summarization, writing blog posts, building websites, designing visuals, making animations, writing code, researching complex topics, and even composing poems.
GPTAutoBot AI is trained using Reinforcement Learning from Human Feedback (RLHF) . The model is trained using supervised fine-tuning, where human AI trainers provide conversations in which they play both sides, the user and an AI assistant. The trainers are given access to model-written suggestions to help them compose their responses. To create a reward model for reinforcement learning, comparison data is collected, which consists of two or more model responses ranked by quality
GPTAutoBot AI can be used to build intelligent interactive voice assistants. While many chatbots only respond to basic verbal prompts, the GPT models can produce chatbots with conversational AI capabilities. In addition, these chatbots can converse verbally like humans when paired with other AI technologies
GPTAutoBot AI is used by several companies, including Intercom, which has built an AI-powered customer service bot called Fin. The bot delivers the power of GPT-4, fine-tuned for the support experience that Intercom provides. However, the large language models used to power this chatbot are currently expensive to run.
ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. ChatGPT is trained using the same methods as InstructGPT, but with slight differences in the data collection setup.
