Google BARD vs. ChatGPT vs. Ernie: The AI chatbot race and Web3
By now you must be aware of the AI market being on a steady rise and heralding global news headlines.
AI chatbots have been the powerhouses uplifting the global business spectrum. It is expected to reach a whopping $267 billion by 2027.
That’s not all — AI is expected to be a major contributor to the global economy, with estimates stating that it could add up to $15.7 trillion by 2030.
About 37% of companies and organizations are already using it in some capacity. Even the top dogs are jumping on board, with nine out of ten leading businesses investing in AI technologies.
ChatGPT operates in two main phases, similar to how Google search works. While Google has a crawling and data collection phase before responding to user queries, ChatGPT has a pre-training phase for gathering data, followed by the inference phase for user and/or Web3 developer interactions. The scalability of the pre-training phase is how ChatGPT redefines the Web3 development landscape.
Now coming to Google BARD, it’s a significant step forward in making information universally accessible and useful. This cutting-edge tool leverages Google’s advanced Language Model for Dialogue Applications (LaMDA).
LaMDA is based on Google’s innovative Transformer neural network architecture. By harnessing the power of LaMDA, BARD enables users to create sophisticated and conversational agents that can understand and respond to human and developer language in a more natural and nuanced way.
Speaking of Ernie, it is a new AI model developed by Chinese tech giant Baidu. It integrates external data sources like different websites to enhance its understanding of language.
Ernie’s deep neural network architecture, combined with a knowledge graph containing a vast amount of
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