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This AI Paper Presents SliCK: A Knowledge Categorization Framework for Mitigating Hallucinations in Language Models Through Structured Training

Marktechpost

Research in computational linguistics continues to explore how large language models (LLMs) can be adapted to integrate new knowledge without compromising the integrity of existing information. The study’s findings demonstrate the effectiveness of the SliCK categorization in enhancing the fine-tuning process.

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A Guide to Computational Linguistics and Conversational AI

Towards AI

if this statement sounds familiar, you are not foreign to the field of computational linguistics and conversational AI. In this article, we will dig into the basics of Computational Linguistics and Conversational AI and look at the architecture of a standard Conversational AI pipeline.

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Alibaba Researchers Unveil Unicron: An AI System Designed for Efficient Self-Healing in Large-Scale Language Model Training

Marktechpost

The development of Large Language Models (LLMs), such as GPT and BERT, represents a remarkable leap in computational linguistics. The computational intensity required and the potential for various failures during extensive training periods necessitate innovative solutions for efficient management and recovery.

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FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation

Google Research AI blog

Expert annotators from each region used the Multi-dimensional Quality Metrics (MQM) framework to identify and categorize errors in the translations. Also, region-unaware MT systems tend to favor whichever variety has more data available online, which disproportionately affects speakers of under-resourced language varieties.

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What if AI treats humans the way we treat animals?

Flipboard

While we can only guess whether some powerful future AI will categorize us as unintelligent, what’s clear is that there is an explicit and concerning contempt for the human animal among prominent AI boosters. Humans, like animals, are vulnerable, breakable creatures who can only thrive within a specific set of physical and social constraints.

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Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

On the other hand, Sentiment analysis is a method for automatically identifying, extracting, and categorizing subjective information from textual data. The 49th Annual Meeting of the Association for Computational Linguistics (ACL 2011). Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts.

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Large Language Models – Technical Overview

Viso.ai

Categorization of LLMs – Source One of the most common examples of an LLM is a virtual voice assistant such as Siri or Alexa. Currently, LLMs can comprehend and generate a wide range of content forms like text, speech, pictures, and videos, to name a few. When you ask, “What is the weather today?”,