Large Language Models (LLMs)
Large language models are the foundation of the current AI wave. AIWeekly explains how LLMs work, compares the leading models and tracks every major release.
Latest on Large Language Models
AIWeekly Exclusive: New Coreset Selection Method Promises More Efficient LLM Benchmarking
A groundbreaking new approach to Large Language Model (LLM) benchmarking, dubbed 'evaluation-unsupervised prompt subset selection', is set to revolutionise how models are assessed. This method, detailed in a recent arXiv paper, enables the selection of a small, representative subset of prompts that accurately reflect the performance and ranking of LLMs across entire benchmark suites, all without relying on prior evaluation outcomes.
AI Models Tackle Economic Strategy: A Look at Reasoning Interventions in Hotelling Markets
A recent study investigates the impact of structured reasoning interventions on the strategic economic reasoning capabilities of large language models. Utilising Hotelling's linear city model, researchers assessed two distinct GPT architectures under various conditions, shedding light on how different reasoning approaches influence their performance in complex economic scenarios.