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Welcome To Ai Prompts Guru
AI Prompts Guru Master the art of crafting perfect prompts to unlock AI’s full potential with precision, creativity, and expert techniques.
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- Defending against Prompt Injection with Structured…
Recent advances in Large Language Models (LLMs) enable exciting LLM-integrated applications. However, as LLMs have improved, so have the attacks against them. Prompt injection attack is listed as the #1 threat by OWASP to LLM-integrated applications, where an LLM input contains a trusted prompt (instruction) and an untrusted data. The data may contain injected instructions … Read more - Teaching Developers to Think with AI…
Developers are doing incredible things with AI. Tools like Copilot, ChatGPT, and Claude have rapidly become indispensable for developers, offering unprecedented speed and efficiency in tasks like writing code, debugging tricky behavior, generating tests, and exploring unfamiliar libraries and frameworks. When it works, it’s effective, and it feels incredibly satisfying. But if you’ve spent any … Read more - The Great Flip – AIs and…
In all of my workshops and most of my posts I end up discussing the differences between Reductionism and Holism. This has been my main message since 2005. Suddenly, but not unexpectedly, this has become critical knowledge. Because we are about to transition. Most people do not realize there is an inherent conflict between the … Read more - 4 lessons from former fraudsters
Fraud and financial scams are on the rise. According to the FBI’s Internet Crime Complaint Center’s annual report, scammers stole a record $16.6 billion in 2024, a 33% increase from 2023. This problem affects everyone. The SAS Faces of Fraud Study revealed that 70% of consumers have fallen victim to fraud at least once, and … Read more - Big Context Windows Are a Big…
Last week, I got my hands on Google’s newest generative model: Gemini 1.5, a multi-modal behemoth that can consume up to an hour of video, 11 hours of audio, 30,000 lines of code, or 700,000 words. That’s a big leap forward in terms of context length: Gemini accepts 5x times more input than its beefiest … Read more
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Exploring the “My First Robots” Kit:…
Get Your “My First Robot” Kit In today’s world, artificial
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Exploring the Ethical Implications of AI:…
AI ethics is about releasing and implementing AI responsibly, paying attention to several considerations, from data etiquette to tool development risks, as discussed in a previous article. In this article, we’ll explore some of the ethical issues that arise with AI systems, particularly machine learning systems, when we overlook the ethical considerations of AI, often
AI Chatbots in Healthcare: Transform Patient’s…
Image source: @totalshape.com Chatbots are replacing phone call-based customer service in various sectors. In the healthcare industry is opting Chatbots to help patients in resolving their concerns faster than traditional methods. In the healthcare sector, the patient’s experience remains at the top priority. These days the patient-driven healthcare environment is helping the patient to make
Google AI Just Open-Sourced a MCP…
Google has released the MCP Toolbox for Databases, a new open-source module under its GenAI Toolbox aimed at simplifying the integration of SQL databases into AI agents. The release is part of Google’s broader strategy to advance the Model Context Protocol (MCP), a standardized approach that allows language models to interact with external systems—including tools,
A sneak peek at TorchVision v0.11…
October 10, 2021 Vasilis Vryniotis . No comments The last couple of weeks were super busy in “PyTorch Land” as we are frantically preparing the release of PyTorch v1.10 and TorchVision v0.11. In this 2nd instalment of the series, I’ll cover some of the upcoming features that are currently included in the release branch of
Gallup: Only 8% of U.S Workers…
In a stunning finding, a Gallup poll reveals that only 8% of U.S. workers uses AI on a daily basis. This in the face of other, markedly different study findings that indicate interest in AI is skyrocketing — including a DemandSage report finding that ChatGPT alone enjoyed 4.5 billion visits in March 2025. Even more
Agentic Journeys: Building for Consumer, Enterprises,…
Rise of AI Agents With the explosion of AI Agents, it is safe to make this claim that if you open any product roadmap and you’ll see some flavors of these statements: “Make it smarter.” “Handle the boring stuff for users.” In other words, let the product act on the user’s behalf (in autopilot). That’s
What’s new about generative AI in…
I’ve spent the last eight years working with AI, learning the ins and outs of building and applying AI solutions in business. After making countless mistakes, I created my own method for building and applying the technology. That was fine and dandy until the fall of 2022, when ChatGPT was released and gave a sudden
A 100-AV Highway Deployment – The…
Training Diffusion Models with Reinforcement Learning We deployed 100 reinforcement learning (RL)-controlled cars into rush-hour highway traffic to smooth congestion and reduce fuel consumption for everyone. Our goal is to tackle “stop-and-go” waves, those frustrating slowdowns and speedups that usually have no clear cause but lead to congestion and significant energy waste. To train efficient
Coding for the Future Agentic World…
May 8 AI Codecon was a huge success. We had amazing speakers and content. We also had over 9,000 live attendees and another 12,000 who signed up to be able to view the content later on the O’Reilly learning platform. (Here’s a post with video excerpts and some of my takeaways.) So we’re doing it
LLMs Are Not What People Say…
If we examine Large Language Models (LLMs) at the level of Epistemology, we find they are misunderstood in many ways. Starting with the name. In Epistemology, Models are human-understandable Simplifications of Reality that allow us to use Reasoning based problem solving methods, such as “F=ma”, “E=mc2”, “The Standard Model”, or “Austrian Economics” LLMs are collections