Tagline
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.
Tagline
Categories
LATEST
- 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
Tagline
POST
Exploring the “My First Robots” Kit:…
Get Your “My First Robot” Kit In today’s world, artificial
Read more
Know More
Exploring counterfactuals in continuous-action reinforcement learning
Reinforcement learning (RL) agents are capable of making complex decisions in dynamic environments, yet their behavior often remains opaque. When an agent executes a sequence of actions—such as administering insulin to a diabetic patient or controlling a spacecraft’s landing—it is rarely clear how outcomes might have changed under alternative choices. This challenge becomes particularly pronounced
The Visual Haystacks Benchmark! – The…
Humans excel at processing vast arrays of visual information, a skill that is crucial for achieving artificial general intelligence (AGI). Over the decades, AI researchers have developed Visual Question Answering (VQA) systems to interpret scenes within single images and answer related questions. While recent advancements in foundation models have significantly closed the gap between human
Normal Technology at Scale – O’Reilly
The widely read and discussed article “AI as Normal Technology” is a reaction against claims of “superintelligence,” as its headline suggests. I’m substantially in agreement with it. AGI and superintelligence can mean whatever you want—the terms are ill-defined and next to useless. AI is better at most things than most people, but what does that
Early Language Models and the Morris…
There is a surprising connection between the Morris Worm and ChatGPT. In my video Model Free Methods Workshop I let the students analyze four problems at a high level, but to do it two different ways for each. First they solve it using a Reductionist Stance, and then using a Holistic Stance. I knew when
Sai Saripalli, Engineering Manager — Non-Negotiables…
In this interview, we speak with Sai Saripalli, Engineering Manager at Autodesk and former technical leader, about the evolving demands of building scalable AI/ML systems in dynamic environments like e-commerce. Sai shares practical insights on embedding user feedback into engineering workflows, leveraging automation beyond efficiency, and what it truly takes to build resilient, high-impact teams.
Mixture of Variational Autoencoders – a…
The Variational Autoencoder (VAE) is a paragon for neural networks that try to learn the shape of the input space. Once trained, the model can be used to generate new samples from the input space. If we have labels for our input data, it’s also possible to condition the generation process on the label. In
Accelerating scientific discovery with AI |…
Several researchers have taken a broad view of scientific progress over the last 50 years and come to the same troubling conclusion: Scientific productivity is declining. It’s taking more time, more funding, and larger teams to make discoveries that once came faster and cheaper. Although a variety of explanations have been offered for the slowdown,
Vilken AI-modell passar dig bäst? ChatGPT,…
En guide för dig som är nybörjare och vill testa AI-modeller utöver ChatGPT, Som nybörjare kanske du bara känner till ChatGPT, men det finns många andra kraftfulla AI-modeller att utforska – som Claude, Gemini, Grok och Perplexity AI. Varje AI-modell har unika styrkor anpassade för specifika uppgifter. Vissa är bäst för konversationer, andra excellerar inom
An Open Multilingual LLM for Translation-Related…
Updated February 9, 2024 to include the newest iteration of Tower models. We are thrilled to announce the release of Tower, a suite of multilingual large language models (LLM) optimized for translation-related tasks. Tower is built on top of LLaMA2 [1], comes in two sizes — 7B and 13B parameters —, and currently supports 10
5 Ways to Use AI for…
Your inbox is overflowing, and dozens, if not hundreds, of customer inquiries are pouring in. This scenario is especially noticeable during the peak of Black Friday sales or the holiday season rush. Each message represents a customer waiting for a response, and the clock is ticking. In these high-stakes moments, the pressure to respond promptly