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68 Summaries of Machine Learning and NLP Research

Marek Rei

Instruction examples are generated using ChatGPT, by asking it to generate examples that make use of one or multiple sample APIs. Computational Linguistics 2022. link] Developing a system for the detection of cognitive impairment based on linguistic features. University of Szeged. Nature Communications 2024.

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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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SQuARE: Towards Multi-Domain and Few-Shot Collaborating Question Answering Agents

ODSC - Open Data Science

Or do you want to compare the capabilities of ChatGPT against regular fine-tuned QA models? QA is a critical area of research in NLP, with numerous applications such as virtual assistants, chatbots, customer support, and educational platforms. In addition, SQuARE can provide a platform to easily extend ChatGPT with external tools.

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Linguistics-aware In-context Learning with Data Augmentation (LaiDA): An AI Framework for Enhanced Metaphor Components Identification in NLP Tasks

Marktechpost

Metaphor Components Identification (MCI) is an essential aspect of natural language processing (NLP) that involves identifying and interpreting metaphorical elements such as tenor, vehicle, and ground. This framework leverages the power of large language models (LLMs) like ChatGPT to improve the accuracy and efficiency of MCI.

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Do Large Language Models Really Need All Those Layers? This AI Research Unmasks Model Efficiency: The Quest for Essential Components in Large Language Models

Marktechpost

The advent of large language models (LLMs) has sparked significant interest among the public, particularly with the emergence of ChatGPT. billion parameters) of the attention heads, the ability to perform zero- or few-shot in-context learning on 14 different natural language processing (NLP) datasets/tasks remained largely unaffected.

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All Languages Are NOT Created (Tokenized) Equal

Topbots

Large language models such as ChatGPT process and generate text sequences by first splitting the text into smaller units called tokens. Second, since we lack insight into ChatGPT’s full training dataset, investigating OpenAI’s black box models and tokenizers help to better understand their behaviors and outputs. turbo` and `gpt-4`).

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Explainable AI and ChatGPT Detection

Mlearning.ai

When ChatGPT was last November, it took the world by storm. But despite this hype, educators around the world immediately saw a huge problem: students using ChatGPT for their homework and essays. If I ask ChatGPT and a human “When did the US, Canada, and Mexico sign NAFTA?”, But this isn’t the only took.