Burying malicious instructions in LLM sources like documents can bypass safeguards. Here's how it works — and how to protect your AI systems.

Abstraction is nothing new in software, but in machine learning, abstraction without oversight turns automation into an architectural risk.

A deep dive into pruning, quantization, distillation, and other techniques to make your neural networks more efficient and easier to deploy.

How understanding the timing of meals using machine learning can support preventive healthcare

Imagina um app que te transforma em qualquer pessoa usando apenas uma foto. Pode ser Cristiano Ronaldo, Elon Musk, CJ do GTA ou até Dilma Rousseff.

Mas cuidado... essa tecnologia é extremamente poderosa e pode ser perigosa se usada sem responsabilidade.…

A comprehensive guide to the books and courses that helped me learn AI

What practitioners need to know about this LLM agent benchmark

Scalable fine-tuning techniques for large language models

The foundations of designing an AI agent

Connecting the Dots for Better Movie Recommendations: Lightweight graph RAG on Rotten Tomatoes movie reviews

Compared to the opacity around human intelligence, AI is more transparent in some very tangible ways. The post AI Is Not a Black Box (Relatively Speaking) appeared first on Towards Data Science.…

A hands-on look at an explainable AI (XAI) technique that helps reveal why a convolutional neural network (CNN) made a particular decision

From pelicans on bicycles to $600 billion market crashes - discover the most insane AI developments of the past 6 months! 🤖🚲#AI#MachineLearning#LLM#TechNew...

Let's dissect the art and science of context engineering, one module at a time! The post Context Engineering — A Comprehensive Hands-On Tutorial with DSPy appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author.…

A deep dive into how post-processing can supercharge synthetic data generation The post How I Won the “Mostly AI” Synthetic Data Challenge appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

From random example selection to systematic AuPair generation  — how to make your LLM prompts actually work The post Finding Golden Examples: A Smarter Approach to In-Context Learning appeared first on Towards Data Science. Generated by RSStT. The copyright…

Learn how to fine-tune BERTopic settings for more focused, reproducible, and interpretable results The post Fine-Tune Your Topic Modeling Workflow with BERTopic appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original…

How FGVC aims to recognize images belonging to multiple subordinate categories of a super-category The post A Refined Training Recipe for Fine-Grained Visual Classification appeared first on Towards Data Science. Generated by RSStT. The copyright belongs…

A beginner-friendly introduction to LLM-as-a-Judge The post How to Use LLMs for Powerful Automatic Evaluations appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

Claudia Ng reflects on real-world ML lessons, mentoring newcomers, and her journey from corporate ML to freelance AI. The post “My biggest lesson was realizing that domain expertise matters more than algorithmic complexity.“ appeared first on Towards Data…