Goal-Oriented vs Process-Oriented Prompting in Large Language Models
Goal-oriented prompts unlock more powerful results from AI language models compared to process-oriented prompts. Learn why and see examples and tips for effective prompting.
Prompt Engineering
Latest posts — page 2
Integrating Large Language Models for Dynamic Heuristic Generation
Discover a prompt engineering framework that leverages large language models (LLMs) to generate effective heuristics dynamically, enhancing decision-making and problem-solving capabilities across various domains.
Emotional Prompting in AI: Transforming Chatbots with Empathy and Intelligence
A discussion on how emotional prompting can create more engaging, empathetic, and human-like interactions with AI & ChatBots. Learn about the key considerations, ethical implications, and future directions of this cutting-edge technology.
Enhancing Emotional Intelligence in Conversational AI: The EI Graph for LLMs
Discover how the Emotional Intelligence (EI) Graph provides a structured approach to developing and regulating emotional intelligence skills. Learn about EI Clusters, Cognitive Chains, and Nodes, and how they work together to support personal growth and well-being.
AI-Generated Content with the OPUS Prompt Engineering Framework
The OPUS Framework enables the creation of high-quality, relevant AI-generated content through a structured approach to crafting effective prompts from initial observations.
Beyond Memorization Machines: How Prompt Engineering Unleashes the True Power of LLMs
Discover how prompt engineering techniques can help language models overcome memory limitations and deliver more accurate, context-rich responses.
Is RAG Falling Short? Rethinking Retrieval-Augmented Generation for Large Language Models
Retrieval-Augmented Generation (RAG) offers promise for grounding large language models, but remains an imperfect science. Learn about the challenges, innovations, and future directions in RAG research and development.
Prompting People: How AI Prompt Engineering Can Enhance Your Human Interactions
Discover how the techniques used to optimize AI prompts can also supercharge your human communication skills. From crafting clear requests to embracing iterative dialogue, learn to apply the core principles of prompt engineering to your everyday interactions.
ChatGPT-4 Outperforms Physicians in Clinical Study: AI's Surprising Diagnostic Prowess and Pitfalls
A groundbreaking study reveals ChatGPT-4's surprising prowess in clinical reasoning, outperforming physicians but with notable pitfalls. Exploring AI's potential as a collaborative tool in healthcare.
New Study: AI is Now the Master of Persuasion and Emotional Manipulation
Discover the persuasive power of AI language models in human conversations and the impact of personalization in this randomized controlled trial.
Memory, Context, and Cognition in LLMs
Explore the inner workings of Large Language Models (LLMs) and learn how their memory limitations, context windows, and cognitive processes shape their responses. Discover strategies to optimize your interactions with LLMs and harness their potential for nuanced, context-aware outputs.
Exploiting Hallucinations to Bypass Filters in Language Models with Reversals
This paper introduces a novel method to bypass the filters of Large Language Models (LLMs) like GPT4 and Claude Sonnet through induced hallucinations, revealing a significant vulnerability in their reinforcement learning from human feedback (RLHF) fine-tuning process.