Table of contents
What are the main highlights of ChatGPT
What is the algorithm behind ChatGPT
ChatGPT's model commercialization road
What is ChatGPT
ChatGPT is a chat robot launched by OpenAI on November 30. It can be tested for free and can imitate human-like conversations according to user prompts.
The role and use of ChatGPT
ChatGPT is popular all over the Internet, but many friends don't know what ChatGPT can be used for? ChatGPT can not only chat, write codes, and fix bugs, but also help you write weekly work reports, write novels, answer exams, draw, see a doctor, and you can even trick it into planning how to destroy human beings. Many people believe that ChatGPT is not just a chatbot, but may be a disruptor of existing search engines.
What are the main highlights of ChatGPT
1. Newly added code understanding and generation capabilities, with a high understanding and tolerance of input, and can give professional answers in most knowledge areas.
2. Incorporate ethical principles. That is, ChatGPT can identify malicious information and refuse to give a valid answer after identification.
3. Support continuous dialogue. ChatGPT has memory ability, which improves the interactive experience of the model.
Introduction to ChatGPT
ChatGPT is a large pre-trained language model developed by OpenAI. It is a variant of the GPT-3 model, which was trained to generate human-like textual responses in conversations. ChatGPT is intended to be used as a chatbot, which we can fine-tune to accomplish various tasks such as answering questions, providing information, or engaging in conversations. Unlike many chatbots that generate text using predefined responses or rules, ChatGPT is trained to generate responses based on the input it receives, resulting in more natural and varied responses.
What is the algorithm behind ChatGPT
The algorithm behind ChatGPT is based on the Transformer architecture, a deep neural network that processes input data using a self-attention mechanism. The Transformer architecture is widely used in natural language processing tasks such as language translation, text summarization, and question answering. Taking ChatGPT as an example, the model is trained on a large dataset of textual dialogues and uses a self-attention mechanism to learn the patterns and structures of human-like dialogues. This enables it to generate responses that are appropriate and relevant to the input it receives.
ChatGPT's model commercialization road
For the creators of these AI tools, the next step is commercialization at scale. The process of evolving from GPT to GPT 3 is quite expensive - the number of parameters has increased from 117 million to 175 billion, and the amount of pre-training data has increased from 5GB to 45TB. The cost of GPT 3 training is 4.6 million US dollars, and the total training cost is 12 million. Wanmei. High investment makes B-side monetization more feasible.
Nowadays, many C-end applications are free versions. Currently, users of AI painting are not willing to pay. 60% of users have never paid for AI painting. In the case of low incentives for C-end payment methods, future B-end or Will become the core customer of AI painting software.
Not without consumers who are willing to shell out money. ChatGPT is not limited to ordinary chatting, but can also solve specific problems, such as assisting in writing codes. Some users have expressed their willingness to pay for ChatGPT on social media. , Many users have already paid. The person in charge of the product said that the current retention rate of the next day is about 40%, and the retention rate of the seven days is close to 30%. In addition, the issue of copyright is a hurdle that cannot be avoided by generative AI. The copyright owners of most original works will mind that AI extracts some elements of their own works.