A team starts by collecting a massive set of data. The model is then trained to decompose the data by breaking the text into words or subwords, known as tokens.
This is where the "t" in gpt comes in: this text processing and breakdown is done by a neural network architecture called a transformer.
At the end of the pre-training phase, the model understands the language in a broad sense, but is not specialized in any specific domain.
Tuning
If you're a company with a huge data set at sri lanka mobile phone number your fingertips, adjustment may be on the table.
Fine tuning consists of training a model with a specific data set, so that it becomes a specialist in a specific function.
You could train it:
medical texts, to
legal texts, to be able to write higher quality legal reports in a specific jurisdiction.
Customer service scripts, to know what types of problems your customers usually have.
After fine-tuning, your gpt chatbot draws on the language skills you acquired in pre-training, but also specializes in your personalized use case.
But fine tuning is not the right process for many of the gpt chatbot projects. You don't need fine tuning if you're trying to customize a chatbot.
In fact, you can only tune a gpt chatbot if you have a very large data set with relevant information (such as transcripts of customer service calls from a large company). If the data set is not large enough, it is not worth your time or money.
Luckily, advanced prompts and rag are almost always enough to customize a gpt chatbot, even if you're using it with thousands of customers.
Alternatives to training a gpt chatbot
illustration of a woman climbing a red ladder and holding a telescope.
If you find the training process daunting, there is good news. You probably don't need it.
Fine-tuning a gpt chatbot is useful for the specific needs of large businesses – and is available to our enterprise customers – but most businesses and chatbot creators can achieve the desired results without the costly fine-tuning process. .
If you want to train a gpt chatbot to:
speak with your brand voice
balance between empathy and help
Correctly detect a specific problem of your customers
disseminate specific information about the brand
then you don't need to go to the trouble of fine-tuning your chatbot. Chatbot creation platforms will allow you to create advanced messages that tailor your bot to your exact needs.
Advanced notices
The best chatbot platforms offer the ability to send advanced messages when creating a chatbot in gpt.