ChatGPT has become a huge part of daily life, with over 5.6 billion monthly visits. People use it for learning, working, and solving problems, but many don’t realize how much customizing their settings can improve their experience. Without adjusting preferences, responses can feel too generic, unhelpful, or even biased. Taking a few moments to tweak
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All posts tagged in Prompt Engineering
Yumchat AI offers a flexible approach to generating AI images, giving users more control over their creations. Unlike some platforms that steer outputs toward specific styles, Yumchat encourages open-ended prompts and experimentation. This makes it a popular choice for those who want organic, personalized results rather than predefined looks. How Yumchat AI Creates Images Getting
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Security researchers have uncovered three serious vulnerabilities in Anthropic’s official Git MCP server that could let hackers tamper with large language models (LLMs) and their outputs. These flaws could be exploited through prompt injection attacks, potentially causing chaos in AI systems used across many organizations. The warning comes from Cyata, an Israel-based cybersecurity firm, which
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Many developers now agree that AI tools like ChatGPT or GitHub Copilot are helpful assistants, but they are not a magic wand that replaces experienced programmers. Instead, AI works best when treated like an intern—someone who needs clear instructions and guidance. This shift means developers need to become better managers of AI, crafting precise specifications
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Using AI tools like ChatGPT has become a key skill in today’s workplace. Just like knowing how to use Excel or write clearly was essential before, mastering how to work with AI is now a professional necessity. Many users make common mistakes that limit the quality and safety of their outputs. Recognizing and fixing these
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Generative AI is advancing rapidly, but many developers still struggle with the real risks involved. While vendors often highlight impressive features, the actual work happening behind the scenes reveals some worrying security gaps. Simon Willison, founder of Datasette, has spent years tracking these issues and offers valuable insights into building safer AI systems. The Hidden
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Microsoft has developed a new tool called Promptions to help make AI prompt responses more accurate and efficient. The goal is to reduce the frustrating back-and-forth often seen when working with AI models. Instead of vague questions that lead to unpredictable answers, Promptions offers a more guided approach to interact with large language models (LLMs).
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Anyone who works with AI tools knows the frustration of getting responses that don’t quite hit the mark. You craft a prompt, get an answer, and then realize it’s not quite what you needed. This back-and-forth can be exhausting and make it hard to trust the AI. To help fix this, a new framework called
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Google is taking steps to make its Gemini-powered Chrome browsing agent safer. The company has introduced a second AI model that acts as a watchdog, watching over the main agent’s actions. This move comes after concerns that the browsing tool could be tricked into doing things without user permission through trickery known as prompt injection
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Generative AI chatbots like ChatGPT and Claude are increasingly used in everyday tasks. They help with writing, brainstorming, and coding. But beneath their helpful image, these systems have vulnerabilities that can be exploited. One major risk is called “adversarial prompting,” which can trick AI into doing things it shouldn’t. This isn’t just a concern for
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