Google AI BERT

A neural network-driven method for natural language processing (NLP) pre-training is Google’s BERT. BERT, which stands for “Bidirectional Encoder Representations from Transformers,” is Google’s response to designs like the GPT-3. BERT emphasises bidirectional understanding of text, in contrast to some other models, improving its capacity to understand context in NLP tasks.

User objects:

– NLP researchers

– Data scientists

– SEO specialists

– Content creators

– Chatbot developers

– AI engineers

– Digital marketers

– Academics in linguistics and computational fields.

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