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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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68 Summaries of Machine Learning and NLP Research

Marek Rei

They focus on coherence, as opposed to correctness, and develop an automated LLM-based score (BooookScore) for assessing summaries. They first have humans assess each sentence of a sample of generated summaries, then check that the automated metric correlates with the human assessment. Computational Linguistics 2022.

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Large Language Models – Technical Overview

Viso.ai

With the advent of platforms like ChatGPT, these terms have now become a word of mouth for everyone. Emergence and History of LLMs Artificial Neural Networks (ANNs) and Rule-based Models The foundation of these Computational Linguistics models (CL) dates back to the 1940s when Warren McCulloch and Walter Pitts laid the groundwork for AI.

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ChatGPT4 still leads ChatBot/LLM Leaderboard

Bugra Akyildiz

ChatRWKV is like ChatGPT but powered by my RWKV (100% RNN) language model, which is the only RNN (as of now) that can match transformers in quality and scaling, while being faster and saves VRAM. To automate the evaluation process, we prompt strong LLMs like GPT-4 to act as judges and assess the quality of the models' responses.

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Overcoming The Limitations Of Large Language Models

Topbots

400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. In the last couple of years, Large Language Models (LLMs) such as ChatGPT, T5 and LaMDA have developed amazing skills to produce human language.

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2022: We reviewed this year’s AI breakthroughs

Applied Data Science

Text-to-Image generation Text-to-Image generation is the automated generation of images based on a prompt provided by human users. The first computational linguistics methods tried to bypass the immense complexity of human language learning by hard-coding syntax and grammar rules in their models. What happened?