If you haven’t tried it yet, I encourage you to do so on openai’s official website or read our blog post where we interviewed chatgpt. In short, it’s a long-form question-answering ai tool that answers complex questions conversationally, and many think it’s one of the most important technological advancements in recent years. But how does it work exactly? The large language model was pre-trained on massive amounts of information from the internet up until , including sources like reddit discussions, to help chatgpt learn dialogue and attain a human style of responding.
This process is called language modeling, and binance data it allowed chatgpt to develop an understanding of the structure of human language. After pre-training, chatgpt was fine-tuned on a specific task, such as question answering or chatbot dialogue generation. During fine-tuning, the model was trained on a smaller, task-specific dataset, allowing it to adapt its knowledge to the particular task. This involved using human feedback (a technique called reinforcement learning with human feedback) so that the ai learned what humans expected when they asked a question.
The result is a chatbot specifically trained to understand the human intent in a question and provide helpful, truthful, and harmless answers. Putting it to the test did you know that chatgpt can generate entire emails using ai technology? One great example to test the effectiveness of this technology is by asking for email subject line suggestions. The program was trained on an unimaginably large data set, so it’s pretty good at creating catchy email subject lines.