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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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Function Calling at the Edge –...

Function Calling at the Edge –…

The ability of LLMs to execute commands through plain language (e.g. English) has enabled agentic systems that can complete a user query by orchestrating the right set of tools (e.g. ToolFormer, Gorilla). This, along with the recent multi-modal efforts such as the GPT-4o or Gemini-1.5 model, has expanded the realm of possibilities with AI agents.

Human-Centered AI, Spatial Intelligence, and the...

Human-Centered AI, Spatial Intelligence, and the…

In a recent episode of High Signal, we spoke with Dr. Fei-Fei Li about what it really means to build human-centered AI, and where the field might be heading next. Fei-Fei doesn’t describe AI as a feature or even an industry. She calls it a “civilizational technology”—a force as foundational as electricity or computing itself.

What is vibe coding? A computer...

What is vibe coding? A computer…

Kathryn Conrad / Datafication / Licenced by CC-BY 4.0 By Chetan Jaiswal, Quinnipiac University Whether you’re streaming a show, paying bills online or sending an email, each of these actions relies on computer programs that run behind the scenes. The process of writing computer programs is known as coding. Until recently, most computer code was

Keep The Hour, But Give Clients...

Keep The Hour, But Give Clients…

Most commercial law firms sell their work in terms of time taken. Meanwhile, AI tools reduce that time. You can see the fundamental problem here. If we don’t fix this, legal AI could remain at the fringes. But, there may be a solution: give clients more ‘for free’. Accepting The Hour…? Really? Now, if you’ve

Using generative AI to help robots...

Using generative AI to help robots…

Diffusion models like OpenAI’s DALL-E are becoming increasingly useful in helping brainstorm new designs. Humans can prompt these systems to generate an image, create a video, or refine a blueprint, and come back with ideas they hadn’t considered before. But did you know that generative artificial intelligence (GenAI) models are also making headway in creating

Cyberbrottslingar använder Vercels v0 för att...

Cyberbrottslingar använder Vercels v0 för att…

Cyberbrottslingar använder Vercels v0 AI-verktyg för att skapa realistiska falska inloggningssidor. AI-tekniken gör det enkelt för brottslingar att snabbt generera flera phishing-sidor. Falska sidor kan vara svåra att skilja från äkta på grund av avancerad design och dynamiskt innehåll. Phishing-attacker riktar sig ofta mot populära tjänster som sociala medier och bankportaler. Användare luras ofta genom

What is synthetic data for artificial...

What is synthetic data for artificial…

This article is a cutout of my forthcoming book that you can sign up for here: https://www.danrose.ai/book. Synthetic data in AI is probably the subject I think the most about currently, to be honest. It has enormous potential to improve privacy, lower bias and improve model accuracy simultaneously in a giant technological leap in the coming years. Gartner

PR Agencies in the Age of...

PR Agencies in the Age of…

Grok 3 In an AI-powered world, PR agencies must adapt to remain relevant by leveraging technology while maintaining the human touch that defines effective communication. Below, we outline how agencies should adjust staffing, training, and skills profiles, evolve their services portfolio, and address the strongest impacts of AI on public relations, particularly in social media

The Mythical AI Minute – by...

The Mythical AI Minute – by…

In the book “The Mythical Man-Month” published 1975, Fred Brooks discussed the practice of software engineering and project management strategies for large software projects. Some of his insights have held true for decades: “Adding manpower to a late software project makes it later” “Plan to throw the first version away; you will anyway” “The second

A Brief History of Open-Vocabulary Modeling...

A Brief History of Open-Vocabulary Modeling…

🔘 Paper page: arxiv.org/abs/2112.10508 Abstract «What are the units of text that we want to model? From bytes to multi-word expressions, text can be analyzed and generated at many granularities. Until recently, most natural language processing (NLP) models operated over words, treating those as discrete and atomic tokens, but starting with byte-pair encoding (BPE), subword-based

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