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What is Retrieval Augmented Generation (RAG)?

Pickl AI

Retriever The retriever is responsible for identifying and fetching relevant documents or data from an extensive knowledge repository, such as a database or document corpus. This collaboration bridges the gap between static knowledge models and dynamic query resolution, ensuring relevance and fluency.

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Commonsense Reasoning for Natural Language Processing

Probably Approximately a Scientific Blog

Visual question answering models guess the answer based on the frequency of answers for the same type of question in the training set, e.g. replying "2" to any "how many" question. Image captioning models often learn to recognize objects based solely on their typical environment , and fail to recognize them outside their typical environment.

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The Hallucination Problem of Large Language Models

Mlearning.ai

Numerals : Models have been shown to hallucinate a lot while generating numerals, such as dates, quantities, and scalars. Long Text : Several tasks require understanding long-range dependencies such as document summarization and dialogue systems with long conversation history.