Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

前言随着 AI Agent 应用的快速发展，智能体需要处理越来越复杂的任务和更长的对话历史。然而，LLM 的上下文窗口限制、不断增长的 token 成本，以及如何让 AI“记住”用户偏好和历史交互，都成为了构建实用 AI Agent ...

Solidworks and Inventor receive a lot of attention, and so we tend to forget the surprising number of other MCAD programs that exist. They are not fly-by-nighters – many have been around for more than ...

Join us for an exclusive webinar where we unveil our new Python API designed to streamline trading as a price taker in FX Options. Whether you are a seasoned quant or trader looking to incorporate ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

Abstract: We present a high-level Python API that enables a fully open-source electromagnetic (EM) and EM-circuit co-simulation flow. The API integrates OpenEMS for 3D full-wave EM simulation, ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Spending hours manually creating address objects on your Palo Alto Networks firewall? There’s a smarter, faster way! This guide will show you how to leverage the Pan-OS REST API and Python to automate ...

In this advanced tutorial, we aim to build a multi-agent task automation system using the PrimisAI Nexus framework, which is fully integrated with the OpenAI API. Our primary objective is to ...

Wrangling your data into LLMs just got easier, though it's not all sunshine and rainbows Hands On Getting large language models to actually do something useful usually means wiring them up to external ...