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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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MIT and Mass General Brigham launch...

MIT and Mass General Brigham launch…

Leveraging the strengths of two world-class research institutions, MIT and Mass General Brigham (MGB) recently celebrated the launch of the MIT-MGB Seed Program. The new initiative, which is supported by Analog Devices Inc. (ADI), will fund joint research projects led by researchers at MIT and Mass General Brigham. These collaborative projects will advance research in

What It Is and Why It...

What It Is and Why It…

This is the third of four parts in this series. Part 1 can be found here and Part 2 can be found here. 7. Building or Integrating an MCP Server: What It Takes Given these examples, you might wonder: How do I build an MCP server for my own application or integrate one that’s out there?

Marek’s Dev Diary: May 15, 2025

Marek’s Dev Diary: May 15, 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

DALL·E Explained in Under 5 Minutes

DALL·E Explained in Under 5 Minutes

It seems like every few months, someone publishes a machine learning paper or demo that makes my jaw drop. This month, it’s OpenAI’s new image-generating model, DALL·E. This behemoth 12-billion-parameter neural network takes a text caption (i.e. “an armchair in the shape of an avocado”) and generates images to match it: From https://openai.com/blog/dall-e/. I think

AI Use Raises Mental Health Concerns

AI Use Raises Mental Health Concerns

AI Use Raises Mental Health Concerns AI Use Raises Mental Health Concerns is no longer just a technological talking point. Increasing interaction with AI chatbots such as ChatGPT is prompting growing concern among mental health experts, ethicists, and digital wellness advocates. While AI can offer support and efficiency, psychologists warn that these tools may affect

Can “Safe AI” Companies Survive in...

Can “Safe AI” Companies Survive in…

As artificial intelligence (AI) continues to advance, the landscape is becoming increasingly competitive and ethically fraught. Companies like Anthropic, which have missions centered on developing “safe AI,” face unique challenges in an ecosystem where speed, innovation, and unconstrained power are often prioritized over safety and ethical considerations. In this post, we explore whether such companies

Gearing up for RoboCupJunior: Interview with...

Gearing up for RoboCupJunior: Interview with…

Action from RoboCupJunior Rescue at RoboCup 2024. Photo: RoboCup/Bart van Overbeeke. The annual RoboCup event, where teams gather from across the globe to take part in competitions across a number of leagues, will this year take place in Brazil, from 15-21 July. An important part of the week is RoboCupJunior, which is designed to introduce

AI for Ad Revenue Stalls in...

AI for Ad Revenue Stalls in…

In a digital ecosystem where user attention is fragmented and ad-blockers are rising, media companies are finding it harder than ever to maintain let alone grow advertising revenue. Traditional approaches to targeting and monetization are hitting a ceiling, often resulting in flat or declining ROI from digital ad operations. To thrive in today’s fast-evolving media

The Transformative Role of AI in...

The Transformative Role of AI in…

2025 marks a pivotal moment in the integration of artificial intelligence (AI) and cybersecurity. Rapid advancements in AI are not only redefining industries; they are reshaping the cybersecurity landscape in profound ways. Through this evolution, I have noted three primary trends emerging that demand immediate attention from organizations: The amplification of security threats powered by

What are Precision & Recall in...

What are Precision & Recall in…

Precision and recall are commonly used metrics to measure the performance of machine learning models or AI solutions in general. It helps understand how well models are making predictions. Let’s use an email SPAM prediction example. Say you have a model that looks at an email and decides whether it’s SPAM or NOT SPAM. To

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