LLM
Self-Generated Examples Boost LLM Reasoning Performance
New research reveals that LLMs reason better using their own examples rather than human-provided ones, suggesting the process of generation matters more than example quality.
prompt engineering
prompt engineering
7 Prompt Engineering Methods That Boost LLM Output Quality
From chain-of-thought reasoning to self-consistency sampling, these seven prompt engineering techniques can dramatically improve how large language models respond to complex queries.
LLM research
Knowledge Model Prompting Boosts LLM Planning Performance
New research introduces Knowledge Model Prompting, a technique that enhances LLM reasoning on complex planning tasks by structuring domain knowledge representation.
prompt engineering
GFlowPO: Using Flow Networks to Automatically Optimize AI Prompts
New research applies Generative Flow Networks to automatic prompt optimization, offering a novel approach to improving AI system outputs through learned prompt engineering strategies.
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.
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.