Remove ChatGPT Remove Computational Linguistics Remove Natural Language Processing
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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. Source: Creative Commons In recent years, we have seen an explosion in the use of voice assistants, chatbots, and other conversational agents that use natural language to communicate with humans.

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Bigram Models Simplified

Towards AI

Bigram Models Simplified Image generated by ChatGPT Introduction to Text Generation In Natural Language Processing, text generation creates text that can resemble human writing, ranging from simple tasks like auto-completing sentences to complex ones like writing articles or stories.

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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? Question Answering is the task in Natural Language Processing that involves answering questions posed in natural language. In addition, SQuARE can provide a platform to easily extend ChatGPT with external tools.

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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.

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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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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.