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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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Data Machina #259 – by Carlos
Prompt Engineering 2.0. Prompt engineering is not going anywhere any time soon. The AI Goliaths have invested 10’s of billions in LLMs & Large Multimodal Models (LMMs), which today -for better or for worse- dominate “modern AI” totally. Due to the way these models were designed and developed, inevitably, to get solid output results from
No rules, just vibes! What is…
In February, OpenAI cofounder and former Tesla AI director Andrej Karpathy coined a phrase that quickly sparked fascination, debate, and even a small cultural shift in the world of software development: vibe coding. What began as just a post “There’s a new kind of coding I call ‘vibe coding,’ where you fully give in to
AI Laughs At NP-Hardness
The Traveling Salesman Problem (TSP) is NP-Hard. Finding the optimal route to visit even a moderate number of cities would require more computation than what we have available on this planet. See Wikipedia. So why are real traveling salesmen not totally paralyzed? Because they are intelligent. Which means they do not have to be Scientifically
Co-Creating the Future: How AI Is…
Artificial Intelligence is no longer just a backend automation tool; it’s becoming a collaborator, a strategist, and a catalyst for redefining the very nature of work. As these thought leaders reveal, AI is not just changing tasks, it’s reshaping what work means, who does it, and how we create value in the modern enterprise. From
If AI Doesn’t Work, then How…
Forbes reports that “most AI projects fail”; Techrepublic puts the number at 85%. How do we reconcile this reality with claims of AI as representing an “existential threat” such as those from Elon Musk and futurism.com? Often called AGI (Artificial General Intelligence), the idea is a general-purpose, human-like intelligence like Hal from 2001 or the
The Batch Normalization layer of Keras…
April 17, 2018 Vasilis Vryniotis . 31 Comments UPDATE: Unfortunately my Pull-Request to Keras that changed the behaviour of the Batch Normalization layer was not accepted. You can read the details here. For those of you who are brave enough to mess with custom implementations, you can find the code in my branch. I might
Marek’s Dev Diary: May 22, 2025
What is this Every Thursday, I will share a dev diary about what we’ve been working on over the past few weeks. I’ll focus on the interesting challenges and solutions that I encountered. I won’t be able to cover everything, but I’ll share what caught my interest. Why am I doing it I want to
How to Set Up MLflow on…
Deploying machine learning models can be daunting, particularly when considering the best environment to host your models. AWS and GCP offer robust cloud platforms, but the setup process varies significantly. Recently, we wrote a guide on deploying MLflow on Google Cloud Platform, and now we will share a comprehensive, step-by-step guide on setting up MLflow
LLM Training Shift Powers AI Leap
LLM Training Shift Powers AI Leap LLM Training Shift Powers AI Leap captures a critical moment in artificial intelligence development. A new era of training large language models (LLMs) like GPT-4 and PaLM 2 has emerged, replacing the conventional approach of next-token prediction with more sophisticated strategies. These include instruction tuning, reinforcement learning from human
A complete Apache Airflow tutorial: building…
Apache Airflow has become the de facto library for pipeline orchestration in the Python ecosystem. It has gained popularity, contary to similar solutions, due to its simplicity and extensibility. In this article, I will attempt to outline its main concepts and give you a clear understanding of when and how to use it. Why and