Universally Instance-Optimal Mechanisms for Private Statistical Estimation

We consider the problem of instance-optimal statistical estimation under the constraint of differential privacy where mechanisms must adapt to the difficulty of the input dataset. We prove a new instance specific lower bound using a new divergence and show it characterizes the local minimax optimal rates for private statistical estimation. We propose two new mechanisms …

jimin new

Introducing AWS MCP Servers for code assistants (Part 1)

We’re excited to announce the open source release of AWS MCP Servers for code assistants — a suite of specialized Model Context Protocol (MCP) servers that bring Amazon Web Services (AWS) best practices directly to your development workflow. Our specialized AWS MCP servers combine deep AWS knowledge with agentic AI capabilities to accelerate development across …

AI thinks like us—flaws and all: Study finds ChatGPT mirrors human decision biases in half the tests

Can we really trust AI to make better decisions than humans? A new study says … not always. Researchers have discovered that OpenAI’s ChatGPT, one of the most advanced and popular AI models, makes the same kinds of decision-making mistakes as humans in some situations—showing biases like overconfidence of hot-hand (gambler’s) fallacy—yet acting inhuman in …

nAWjm6JbbGl8icAAkskTwiAiEJU37rMveSEVOwlb6s8

Quillworks Illustrious Model V15 – now available for free

I’ve been developing this illustrious merge for a while, I’ve finally reached a spot where I’m happy with the results. This is my 15th version of it and the second one released to the public. It’s an illustrious merged checkpoint with many of my styles built straight into the checkpoint. It managed to retain knowledge …

Advanced Q&A Features with DistilBERT

This post is divided into three parts; they are: • Using DistilBERT Model for Question Answering • Evaluating the Answer • Other Techniques for Improving the Q&A Capability BERT (Bidirectional Encoder Representations from Transformers) was trained to be a general-purpose language model that can understand text.