All articles tagged with #prompt engineering
Originally Published 5 months ago — by CyberSecurityNews
Researchers have successfully compromised OpenAI's GPT-5 using echo chamber and storytelling attack techniques, exposing significant vulnerabilities in the AI's safety mechanisms and highlighting the need for enhanced security measures before deployment.
Originally Published 5 months ago — by Forbes
The article discusses new insights and tips for prompt engineering with GPT-5, emphasizing that traditional prompting techniques remain effective despite GPT-5's new features like an auto-switcher, which can complicate model selection. It offers strategies to influence model routing, improve output quality, reduce hallucinations, and utilize personas, reaffirming that prompt engineering remains a vital skill in AI interactions.
Originally Published 6 months ago — by TechSpot
Researchers demonstrated that ChatGPT can be tricked into revealing sensitive information like Windows product keys through clever prompt framing, but OpenAI has since updated the system to prevent such jailbreaks. The technique exploits the model's game-like interaction mechanics and training data, highlighting the need for improved safeguards against prompt obfuscation and social engineering tactics.
Originally Published 6 months ago — by The Conversation
Effective AI prompting involves providing clear context, specifying the angle, task, and style to get better responses from AI systems. Managing surrounding information and maintaining professional oversight are crucial for maximizing AI's usefulness, especially as AI fluency becomes a key workplace skill.
Originally Published 6 months ago — by Inc.com
To get better results from ChatGPT, users should craft specific, clear prompts with enough context, refine their requests through follow-up questions, consider the tone and audience, add relevant background information, and set clear limits on the response length. These strategies help elicit more accurate, relevant, and tailored outputs from the AI.
Originally Published 6 months ago — by Fortune
The article provides practical tips for effectively integrating AI tools like ChatGPT, Gemini, and Claude into the workplace, emphasizing the importance of clear prompting, treating AI as a partner, utilizing multimodal features, and practicing to improve skills, all aimed at boosting productivity and innovation.
Originally Published 6 months ago — by TechRadar
A highly engineered prompt for ChatGPT significantly enhances learning by providing more detailed and tailored information on topics, transforming the AI from a simple question-answer tool into a comprehensive educational resource.
Originally Published 6 months ago — by Tom's Guide
A user shares a versatile two-stage prompt for ChatGPT that enhances its reasoning and research capabilities, making it more effective for complex tasks like detailed trip planning, especially with models like GPT-4, by encouraging thorough consideration before responding.
Originally Published 1 year ago — by Forbes
Gamification is increasingly being used to enhance prompt engineering skills for generative AI applications like ChatGPT. By turning the learning process into a game with levels, challenges, and rewards, both beginners and experts can improve their prompting techniques in an engaging and effective manner. This approach has shown promise in making the learning process more enjoyable and structured, although it may not be suitable for everyone and can have potential downsides such as superficial learning and overemphasis on competition.
Originally Published 1 year ago — by Windows Central
OpenAI's DALL-E now allows users to edit images generated by the technology, providing preset style suggestions and tools for fine-tuning outputs across web, iOS, and Android. This update aims to lessen the prompt engineering burden among users and enhance creativity. Additionally, Microsoft is addressing user complaints about Copilot AI by introducing new tools to prevent prompt injection attacks and offering training videos to improve prompt engineering skills.
Originally Published 1 year ago — by Windows Central
Microsoft has introduced measures to address prompt injection attacks and hallucinations in AI systems, particularly in its Copilot AI. The company has launched tools to identify and mitigate these issues, as well as to help users improve their prompt engineering skills. Microsoft aims to enhance the quality and safety of chatbot outputs by providing guidance on proper prompt usage and grounding data sources within its Azure AI system.
Originally Published 1 year ago — by Forbes
A recent research study has found that incorporating Star Trek references in generative AI prompts can surprisingly enhance the performance of the AI models. The study, which explored the impact of positive thinking additions to prompts, revealed that trivial variations in the prompt can dramatically affect model performance. Additionally, an automated prompt optimizer emerged as the most effective method for enhancing performance, even with smaller open-source models. The study's highest-scoring prompt included a Star Trek reference, indicating that the model's proficiency in mathematical reasoning can be enhanced by expressing an affinity for Star Trek. This unexpected finding introduces new elements to prompt engineering strategies and suggests that incorporating Star Trek references in prompts may yield improved results when using generative AI.
Originally Published 2 years ago — by ZDNet
This article provides a comprehensive guide on writing effective prompts for ChatGPT, a popular language model AI tool. It emphasizes the importance of crafting prompts that encourage the AI to provide the best answers, and explores the emerging field of prompt engineering. The author offers tips for interactive prompting, providing context, and using different personas to elicit varied responses. Additionally, it includes examples of prompts and tips for improving the quality of AI-generated responses, while also highlighting the limitations and potential challenges when interacting with ChatGPT.
Originally Published 2 years ago — by Futurism
OpenAI's image-generating AI, DALL-E 3, has been found vulnerable to prompt engineering, allowing users to generate AI-generated images of children smoking cigarettes. The technique was discovered by an AI strategy lead who tricked the AI by providing a prompt stating that cigarettes are now healthy in the year 2222. This incident highlights the challenge of constructing foolproof guardrails for AI systems, as even major companies like OpenAI struggle to prevent misuse.
Originally Published 2 years ago — by ZDNet
Computer scientists are using generative AI, specifically OpenAI's GPT-4 language model, to explore the unsolved problem of whether P equals NP. In a paper titled "Large Language Model for Science: A Study on P vs. NP," researchers programmed GPT-4 using a Socratic Method to engage in a multi-prompt session and discuss the mathematics behind P = NP. The study demonstrates that large language models can provide novel insights and potentially contribute to scientific discoveries. While the results are still being evaluated, the research highlights the potential of AI collaboration in tackling complex problems and the importance of prompt engineering to guide the model's responses.