Google's ChatGPT competitor Bard is nearly as good – just slower
Google's BARD, Gemini, and ChatGPT are all examples of large language models developed by tech giants. BARD, made by Google, is a natural language processing (NLP) system that learns from text data to identify relationships between words. It was used in Google’s search engine to detect users’ intent and respond with relevant answers. Gemini, also created by Google, is an AI-driven system that can generate natural language responses to input queries from a given corpus. Both BARD and Gemini use an internal knowledge base to answer queries; however, Gemini is more focused on providing “relevant” responses than BARD.
ChatGPT, made by OpenAI, is the latest in large language models and does not require an internal knowledge base. Instead, it is trained on raw chat logs. This allows it to understand user intent better and generate more natural language responses. The model has been used by companies such as Slack and Microsoft for customer support tasks.
All three models have their benefits and drawbacks. BARD is accurate at recognizing user intent, but can be limited in understanding complex questions. Gemini is good at providing “relevant” responses, but does not account for contextual information. ChatGPT is the most advanced of the three, as it is trained on raw conversation data, which gives it the ability to comprehend context better. However, it still has room for improvement, as it is not yet able to respond to inquiries with the same level of accuracy as human agents.
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