![]() ![]() It is a decoder-only transformer model, mainly used for text generation. GPT ModelĪs discussed earlier, GPT(Generative Pretrained Transformer) is a type of Transformer model released by OpenAI. In this blog, we will be using the GPT model to finetune a chatbot for customer support. You can also refer to my previous blog post which discusses the same. There are various transformer-based architectures available today. In this example, the desired output is the Japanese translation. The decoders will take this data and generate the desired output. In the above example, the English input is encoded into vectors using encoders. Encoders are used to generate a meaningful representation of the input data. ![]() Transformers are encoder-decoder-based models. A popular use case of Transformer is language conversion where the input is a sentence in one language and the output will be the same sentence in another language. Transformer models are a type of Deep neural network which convert an input sequence from one form to another using a technique called self-attention. Most of the smart chatbots are built on top of Deep Neural networks and Transformer models. These are smarter to understand the intent of the user’s query and will respond like a person. These chatbots are designed to interact with the users in a natural language. Smart chatbots are built using Machine learning and Natural language processing. The complexity of the chatbot depends on its use case. One such smart chatbot which recently became very popular was Lambda by Google. Its complexity can range from a simple rule-based chatbot with limited capabilities, to smart chatbots which make use of the technologies like AI. Chatbots can be designed in different ways. The users or the customers can avoid the hurdle of dialing customer service and waiting for their response, by using a chatbot. Nowadays, we can see chatbots on almost every website. One popular application of chatbot is customer support. GPT 3 CHATBOT SOFTWARELet’s get started IntroductionĬhatbots are software that is designed to conduct conversions with users. How do these bots respond to user queries? How does this bot understand the user's intention and give smart responses? In this blog, we are going to build the above smart chatbot by leveraging machine learning and language models. ![]()
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