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NLEPs: Bridging the gap between LLMs and symbolic reasoning

AI News

While LLMs like ChatGPT have demonstrated impressive performance on various tasks, they often struggle with problems requiring numerical or symbolic reasoning. Photo by Alex Azabache ) See also: Apple is reportedly getting free ChatGPT access Want to learn more about AI and big data from industry leaders?

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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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10 Best AI Email Marketing Software Tools (January 2025)

Unite.AI

This platform integrates OpenAI's ChatGPT technology directly into its email creation workflow. In just 30 seconds, Jacquard can generate 2,500 unique message variants that stay true to your brand voice, thanks to over 50 customizable language settings and oversight from computational linguists.

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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? Lastly, we are currently working on integrating recent works on Large Language Models such as ChatGPT. With SQuARE, we can simplify the analysis of the capabilities of ChatGPT by comparing it with regular fine-tuned state-of-the-art models.

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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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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. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples.

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CDS Faculty Member Tim G.

NYU Center for Data Science

The paper will be presented at the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL2025). Rudners previous work on uncertainty-aware priors for neural networks established standards for uncertainty quantification in computer vision and language classification tasks.