Results for "prompting"
1231 lessons + 62 articles found
Pro AI Search finds by meaning — not just keywords. Try searching "prompting" as Pro to see the difference. Unlock →
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
📚 Coursera Course ↗
Self-paced
Articles (62)
ArXiv cs.AI
📄 Paper
6h ago
Evaluation of Embedding-Based and Generative Methods for LLM-Driven Document Classification: Opportunities and Challenges
arXiv:2604.04997v1 Announce Type: cross Abstract: This work presents a comparative analysis of embedding-based and generative models for classifying geoscience
ArXiv cs.AI
📄 Paper
6h ago
A State-Update Prompting Strategy for Efficient and Robust Multi-turn Dialogue
arXiv:2509.17766v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) struggle with information forgetting and inefficiency in long-horizon, mu
ArXiv cs.AI
📄 Paper
6h ago
Unlocking the Potential of Diffusion Language Models through Template Infilling
arXiv:2510.13870v2 Announce Type: replace-cross Abstract: Diffusion Language Models (DLMs) have emerged as a promising alternative to Autoregressive Language Mo

Hackernoon
🧠 Large Language Models
⚡ AI Lesson
13h ago
Why "Build an AI Agent" Is the Wrong Starting Point for AI Systems
The industry is obsessed with agents and prompting. That focus is not wrong—but it is incomplete. Real production systems require architecture, determinism, int
ArXiv cs.AI
📄 Paper
1d ago
Context Engineering: A Practitioner Methodology for Structured Human-AI Collaboration
arXiv:2604.04258v1 Announce Type: new Abstract: The quality of AI-generated output is often attributed to prompting technique, but extensive empirical observati
ArXiv cs.AI
📄 Paper
1d ago
Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework
arXiv:2604.04852v1 Announce Type: cross Abstract: Chain-of-Thought (CoT) prompting has been used to enhance the reasoning capability of LLMs. However, its relia
Not finding what you need?
Ask the AI assistant — it understands context and can recommend specific lessons for your goal.
DeepCamp AI