✍️ Prompt Engineering - tamaulipas · Scour

🧠LLMs arxiv.org·

Compositional Reasoning Depth Predicts Clinical AI Failure: Empirical Evidence Consistent with Transformer Compositionality Limits in Electronic Health Record Q...

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🧠LLMs medium.com

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Everyone’s Using AI Built on Transformers. Most People Can’t Explain What That Means.

Less-relevant results

⚙️AI Engineering medium.com

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Prompt Engineering

⚙️AI Engineering levelup.gitconnected.com

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Nobody Writes Prompts Anymore. We Write Loops.

⚙️AI Engineering medium.com

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From Machine Learning to Agentic AI: The Complete Story Every Practitioner Should Know

⚙️AI Engineering medium.com

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What I Learned Building a RAG System from Scratch: Lessons from the Trenches

🧠LLMs medium.com

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Building Yoruba TTS: Why Tonal Engineering is the Key to Intelligibility

⚙️AI Engineering medium.com

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Mastering LLMs and Prompt Engineering: A Cybersecurity Professional’s Guide

📚RAG arxiv.org·

Robust Dual-Signal Fusion: Hybrid Neuro-Symbolic Gating with Compressed Chain-of-Thought Refinement for Irony Detection in Social Media Texts

📚RAG arxiv.org·

Transductive Zero-Shot Audio Classification with Audio-Language Models

🧠LLMs arxiv.org·

Want Better Synthetic Data? Steer It: Activation Steering for Low-Resource Language Generation

🧠LLMs arxiv.org·

Uncertainty-Aware Reward Modeling for Stable RLHF

🧠LLMs arxiv.org·

Do LLMs Reliably Identify Correct Information Units in Aphasic Discourse?

🧠LLMs arxiv.org·

Low-Burden Data Augmentation for Dysarthric ASR via Zero-Shot Voice Cloning

🧠LLMs arxiv.org·

Reading between the Lines: Leveraging Large Language Models for Global Dementia and Depression Assessment from Clinical Interviews

🧠LLMs arxiv.org·

MAF: Multimodal Adaptive Few-shot Prompting for Sentiment Analysis with MLLMs

🛠️MLOps arxiv.org·

Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement

📚RAG arxiv.org·

Gen-VCoT: Generative Visual Chain-of-Thought Reasoning via Diffusion-Based RGB Intermediate Representations

🛠️MLOps arxiv.org·

Let LLMs Judge Each Other: Multi-Agent Peer-Reviewed Reasoning for Medical Question Answering

🛠️MLOps arxiv.org·

Label Shift Aware Adaptation for Online Zero-shot Learning with Contrastive Language-Image Pre-Training (CLIP)

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