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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 fraudstersFraud 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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It Takes A Species To Raise…
People in the humanities are aghast at the lies confabulated by current LLMs. To them, I say: Just wait. This will shortly become YOUR problem. It takes a species to raise an AI. Us Techies have managed to cobble together a machine that can learn any language on the planet. This breakthrough was achieved after

Making optimal decisions without having all…
The article “Revelations: A Decidable Class of POMDP with Omega-Regular Objectives” won an Outstanding Paper Award at the AAAI 2025 conference, a prestigious international conference about artificial intelligence. This year, only three papers received such an award out of 3,000 accepted and 12,000 submitted! This recognition crowns the results of research initiated in Bordeaux (France)

Understand the Model Behind GPT-3, BERT,…
You know that expression When you have a hammer, everything looks like a nail? Well, in machine learning, it seems like we really have discovered a magical hammer for which everything is, in fact, a nail, and they’re called Transformers. Transformers are models that can be designed to translate text, write poems and op eds,

How is security built into SecureChain…
In today’s fast-paced digital landscape, ensuring the security of artificial intelligence (AI) systems is paramount. One such cutting-edge solution that takes security to the next level is SecureChain AI. In this blog post, we will delve into the intricate details of how security is seamlessly woven into the fabric of SecureChain AI, providing users with

Better Code Merging with Less Compute:…
Osmosis AI has open-sourced Osmosis-Apply-1.7B, a fine-tuned variant of Qwen3-1.7B, designed to perform highly accurate and structured code merge tasks. Drawing inspiration from IDE agents like Cursor’s “instant apply,” Osmosis-Apply-1.7B is optimized for context-sensitive, function-level code edits. The model achieves strong performance with fewer parameters compared to much larger foundation models by leveraging code-specific formatting

Datumbox Machine Learning Framework v0.8.2 released
August 5, 2020 Vasilis Vryniotis . No comments The Datumbox Framework v0.8.2 has been released! Download it now from GitHub or Maven Central Repository. What is new? The version 0.8.2 is a limited incremental release that focuses on resolving bugs and updating the dependencies of the framework. Here are the details: Bug Fixes: Resolved an

CIO AI Playbook for Scalability
CIOs are at the forefront of a defining business shift. AI is transforming industries, creating new opportunities and risks. The question is: how can CIOs architect AI strategies that deliver scalable growth without disrupting existing systems? Implementing AI successfully requires more than technology adoption. It demands building resilient, future-proof infrastructures that align with broader business

ChatGPT Unveils Memory and GPT Store
ChatGPT Unveils Memory and GPT Store The headline ChatGPT Unveils Memory and GPT Store marks a pivotal moment in the evolution of generative AI. OpenAI’s latest release transforms ChatGPT from a reactive conversational model into a persistent, personalized tool. The rollout of the GPT Store brings a fully functional marketplace into the ChatGPT interface. These

Data Machina #260 – by Carlos
Vision-Language Models Booming. VLMs are experiencing a boom. Large foundation models like OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet, and Google Gemini Pro 1.5 keep showing amazing vision-language capabilities and still dominate the benchmarks. But in a race to democratise VLMs at an efficient cost of operation -while maintaining performance- there is a new type of

A Case Study with the StrongREJECT…
When we began studying jailbreak evaluations, we found a fascinating paper claiming that you could jailbreak frontier LLMs simply by translating forbidden prompts into obscure languages. Excited by this result, we attempted to reproduce it and found something unexpected.