Results for "prompting"
1485 lessons + 262 articles found
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![From Prompts to Policies: How RL Builds Better AI Agents [Mahesh Sathiamoorthy] - 731](https://i.ytimg.com/vi/PHEBjgP_k6Y/mqdefault.jpg)
![Introduction to Reasoning LLMs [1hr Talk]](https://i.ytimg.com/vi/AZhUhGsgz4s/mqdefault.jpg)
Articles (262)
ArXiv cs.AI
📄 Paper
2h ago
Layered Mutability: Continuity and Governance in Persistent Self-Modifying Agents
arXiv:2604.14717v1 Announce Type: new Abstract: Persistent language-model agents increasingly combine tool use, tiered memory, reflective prompting, and runtime
ArXiv cs.AI
📄 Paper
2h ago
The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure
arXiv:2604.14197v1 Announce Type: cross Abstract: Large language model (LLM) performance depends heavily on prompt design, yet prompt construction is often desc
ArXiv cs.AI
📄 Paper
2h ago
Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
arXiv:2604.14640v1 Announce Type: cross Abstract: The proliferation of financial misinformation poses a severe threat to market stability and investor trust, mi
ArXiv cs.AI
📄 Paper
2h ago
Enhancing LLM-Based Neural Network Generation: Few-Shot Prompting and Efficient Validation for Automated Architecture Design
arXiv:2512.24120v2 Announce Type: replace-cross Abstract: Automated neural network architecture design remains a significant challenge in computer vision. Task
Medium · Machine Learning
🤖 AI Agents & Automation
⚡ AI Lesson
12h ago
Stop Prompting. Start Orchestrating: The Blueprint for the 2026 Supervisor Agent
The era of the monolithic LLM is ending. Here is how to build the multi-agent systems that will define the next generation of intelligence. Continue reading on
Medium · Data Science
🤖 AI Agents & Automation
⚡ AI Lesson
12h ago
Stop Prompting. Start Orchestrating: The Blueprint for the 2026 Supervisor Agent
The era of the monolithic LLM is ending. Here is how to build the multi-agent systems that will define the next generation of intelligence. Continue reading on
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