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Prompt Engineering for Agentic AI

You have probably spent time learning how to prompt AI well...

Prompt engineering does not universally improve Large Language Model performance across clinical decision-making tasks

arXiv:2512.22966v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated promise in medical knowledge...

Prompt Caching vs. Fine-Tuning: A Cost and Latency Decision Framework

In this article, you will learn how prompt caching and fine-tuning differ as strategies for...

Prompt Caching vs. Fine-Tuning: A Cost and Latency Decision Framework

In this article, you will learn how prompt caching and fine-tuning differ as strategies for...

Procedural Knowledge at Scale Improves Reasoning

arXiv:2604.01348v3 Announce Type: replace Abstract: Test-time scaling has emerged as an effective way to improve...

Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark

arXiv:2509.26574v3 Announce Type: replace-cross Abstract: While large language models (LLMs) with reasoning capabilities are progressing...

Probing Neural Topology of Large Language Models

arXiv:2506.01042v3 Announce Type: replace Abstract: Probing large language models (LLMs) has yielded valuable insights into...

Probabilistic distances-based hallucination detection in LLMs with RAG

arXiv:2506.09886v2 Announce Type: replace Abstract: Detecting hallucinations in large language models (LLMs) is critical for...

Probabilistic Aggregation and Targeted Embedding Optimization for Collective Moral Reasoning in Large Language Models

arXiv:2506.14625v2 Announce Type: replace Abstract: Large Language Models (LLMs) have shown impressive moral reasoning abilities...

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