In February 2021, Google announced the development of a new conversational AI model called Bidirectional Encoder Representations from Transformers (BERT) for Dialogue, or simply, BERT-based conversational agents, which is intended to compete with OpenAI’s Chat GPT.
BERT is an open-source, neural network-based language processing model, which can understand the context of words and phrases in a sentence, making it a powerful tool for natural language processing (NLP). The new conversational AI model builds on BERT’s capabilities and enables more complex and intelligent conversations with users.
The BERT-based conversational agents will be able to understand user queries and generate responses that are contextually relevant, making conversations more natural and engaging. The model can be used in a variety of applications, including chatbots, voice assistants, and customer service systems.
The development of BERT-based conversational agents is part of Google’s ongoing efforts to improve the user experience on its platform and to provide users with more advanced AI capabilities. The model will be integrated into Google’s existing conversational AI products, including Dialogflow and Contact Center AI, to enable more sophisticated interactions between users and machines.
The development of BERT-based conversational agents is an exciting development in the field of conversational AI. As AI technology continues to evolve, we can expect to see more sophisticated and intelligent conversational agents that can provide users with more personalized and engaging experiences.
In conclusion, the introduction of BERT-based conversational agents is a significant step forward in the development of conversational AI. The new model will provide Google with a powerful tool for improving the user experience on its platform and competing with other conversational AI models, such as OpenAI’s Chat GPT. As this technology continues to evolve, we can expect to see more advanced and sophisticated conversational agents that will revolutionize the way we interact with machines.
