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NLEPs: Bridging the gap between LLMs and symbolic reasoning

AI News

Researchers have introduced a novel approach called natural language embedded programs (NLEPs) to improve the numerical and symbolic reasoning capabilities of large language models (LLMs). The technique involves prompting LLMs to generate and execute Python programs to solve user queries, then output solutions in natural language.

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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. The study focuses on the OPT-66B model, a 66-billion-parameter LLM developed by Meta as an open replica of GPT-3. Check out the Paper and Blog.

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68 Summaries of Machine Learning and NLP Research

Marek Rei

link] The paper investigates LLM robustness to prompt perturbations, measuring how much task performance drops for different models with different attacks. link] The paper proposes query rewriting as the solution to the problem of LLMs being overly affected by irrelevant information in the prompts. ArXiv 2023. Oliveira, Lei Li.

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ChatGPT4 still leads ChatBot/LLM Leaderboard

Bugra Akyildiz

Articles LLM Arena You want to use a chatbot or LLM, but you do not know which one to pick? Or you simply want to compare various LLMs in terms of capability? LLM-judge prompts to evaluate your models with LLM-as-a-judge. HuggingFace leaderboard might be the leaderboard that you are looking for.

LLM 52
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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

Given the intricate nature of metaphors and their reliance on context and background knowledge, MCI presents a unique challenge in computational linguistics. This framework leverages the power of large language models (LLMs) like ChatGPT to improve the accuracy and efficiency of MCI.

NLP 60
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Overcoming The Limitations Of Large Language Models

Topbots

How popular LLMs score along human cognitive skills (source: semantic embedding analysis of ca. 400k AI-related online texts since 2021) Disclaimer: This article was written without the support of ChatGPT. In the business context, this can lead to bad surprises when too much power is given to an LLM.

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Large Language Models – Technical Overview

Viso.ai

Large Learning Models or LLMs are quite popular terms when discussing Artificial intelligence (AI). With the advent of platforms like ChatGPT, these terms have now become a word of mouth for everyone. An easy way to describe LLM is an AI algorithm capable of understanding and generating human language.