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Understanding Large Language Models
This document explores the capabilities and limitations of Large Language Models (LLMs), particularly focusing on their ability to attribute beliefs in narrative contexts. By examining cognitive processes relevant to AI development, we provide insights into how these models can be optimized for more effective human-like interactions.
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Enhancing AI Reliability: Insights from Language Models
This document explores the advancements in language models (LMs) with a focus on their self-evaluation capabilities and calibration techniques. As LMs become integral to various AI applications, understanding their reliability and trustworthiness is paramount. This paper provides AI engineers with practical insights, methodologies, and visual representations to enhance model performance and ensure robust implementations in…
Tag: LARGE_LANGUAGE_MODELS
AI-powered text generators trained on vast datasets, capable of understanding context and producing human-like language outputs.