AI絵師が驚くべき進歩を見せたのに続いて、どんな質問にも流暢にそれらしい回答をするAIが登場して世上を騒がせている。Chat-GPTがそれで、いまは無料で試せるらしく、ちょっと触ってみた。確かに参考文献を列挙する従来型の情報検索とは違うレベルの回答を返してくる。大学生が宿題のレポートをChat-GPTに書かせて提出しても、教師はそれを見破れないだろうというから、チューリング・テストにはまず合格するだろう。自分自身への問いに、まるで自意識を備えているみたいな回答を返したり、分からないことは分からないと率直に認めたりするなど可愛いところもある。面白いと同時に物騒なものが出現したものだ。
以下は、私が試した質問とその回答の例。
Ex#1
Q1. how AI stores the results that they learned through deep learning
A1. AI models typically store the results of deep learning in the form of model weights, which are the values of the parameters of the neural network that have been learned during training. These weights are typically stored in a file, such as a .h5 or .pth file, and can be loaded into the model for use in making predictions or classifications. Additionally, some AI models store the architecture of the neural network, which specifies the number and types of layers, as well as the connections between them, in a separate file. This allows the model to be re-created and the weights to be loaded into it for use.
Q2. are the models updated dynamically during the use of AI ?
A2. Yes, AI models can be updated dynamically during use. This process is known as online learning or incremental learning. In online learning, the model is trained on new data as it becomes available, rather than all at once in a batch process. This allows the model to adapt and improve over time as it processes more data.
In incremental learning, the model is trained on a small batch of data at a time, and the model’s weights are updated after each batch. This allows the model to learn from data as it is acquired and avoid the need to store a large dataset to retrain on.
Dynamic updating can be done for both supervised and unsupervised learning. However, it is more common in supervised learning, since the model is trained on labeled data and can be evaluated for accuracy and performance.
It is worth noting that not all AI models are updated dynamically during use and some are not designed to be updated at all. It depends on the use case and the goal of the model.
Q3. is your model in chat-GPT dynamically updated ? eg. by this chat.
A3. My model, ChatGPT, is not updated dynamically during use. It is a pre-trained model that was trained on a large dataset of text using a technique called unsupervised learning. The training data included a wide range of text, such as books, articles, and websites.
The model’s parameters are fixed after training and are not updated during use. Instead, the model uses the information it has learned during training to generate responses to the input it receives.
However, it is possible to fine-tune ChatGPT on a specific task by training it on a small dataset of labeled examples, which can improve its performance on that task. Fine-tuning is a form of transfer learning and it can be considered a way of updating the model.
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Ex#2
Q1. is it possible to use Japanese to ask you?
A1. Yes, it is possible to use Japanese to ask me. I am able to understand and generate text in multiple languages, including Japanese. However, please note that my proficiency in Japanese may not be as high as in English, and I may not be able to understand or generate as accurately as I do with English. If you do use Japanese, it’s better to keep in mind that I may not understand some nuances or colloquial expressions, and it may be helpful to provide additional context or clarify any ambiguous phrases.
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Ex#3
Q1. what is the Turing test?
A1. The Turing test is a test of a machine’s ability to demonstrate intelligent behavior that is indistinguishable from that of a human. It is named after Alan Turing, who proposed the test in 1950. The test involves a human evaluator who interacts with a machine and a human through a natural language interface, such as a chat or text-based interface. If the evaluator is unable to distinguish which responses are from the machine and which are from the human, the machine is said to have passed the Turing test. The test is often used as a benchmark for determining the success of artificial intelligence research.
Q2. have you ever take the Turing test?
A2. As a machine learning model, I have not taken the Turing test in the traditional sense, as it requires a human evaluator to assess my responses. However, my ability to understand and respond to human language is tested in a variety of ways by the researchers and engineers who developed and continue to improve me. These tests include evaluating my performance on a wide range of language tasks, such as answering questions, writing essays, and generating natural-sounding speech.