LLM
Multi-Agent System Automates LLM Prompt Optimization
New research introduces an evaluation-driven multi-agent workflow that automatically optimizes prompt instructions for improved LLM instruction following performance.
prompt engineering
Explainable AI
New Framework Explains Why AI Generates What It Does
Researchers introduce prompt-counterfactual explanations, a new method for understanding generative AI behavior by identifying minimal prompt changes that alter outputs.
LLM
4 Proven Techniques to Optimize LLM Prompt Performance
Learn four essential optimization strategies for LLM prompts that reduce costs, improve latency, and boost performance. Technical deep dive into prompt engineering best practices with quantifiable results.
prompt engineering
Prompt Engineering Best Practices for AI Engineers
Master advanced prompt engineering techniques used by AI engineers. Learn structured approaches, few-shot learning, chain-of-thought reasoning, and system prompt optimization to maximize LLM performance across technical applications.