BERT, Knowledge Model and Natural Language Processing

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BERT

Knowledge Model

Natural Language Processing

Commonsense Reasoning for Natural Language Processing

Probably Approximately a Scientific Blog

JANUARY 12, 2021

Figure 1: adversarial examples in computer vision (left) and natural language processing tasks (right). Machine learning models today perform reasonably well on perception tasks (image and speech recognition). So knowledge in language models is not the most accurate and reliable. Is it still useful?

Natural Language Processing

Natural Language Processing BERT NLP Neural Network

What is Retrieval Augmented Generation (RAG)?

Pickl AI

DECEMBER 5, 2024

Retrieval Augmented Generation (RAG) is a cutting-edge approach in natural language processing that combines two powerful techniques: information retrieval and text generation. The core idea is to enhance a language model’s output by grounding it in external, up-to-date, or domain-specific information.

Natural Language Processing

Natural Language Processing Conversational AI Chatbots Artificial Intelligence

Artificial Intelligence Zone

Commonsense Reasoning for Natural Language Processing

What is Retrieval Augmented Generation (RAG)?

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