Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Imagine having your AI assistant in Cursor seamlessly trigger complex GitHub workflows—fetching issue details, analyzing commit history, and creating professional pull requests—all through natural ...
AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...
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Learn how to set up MCP in Figma the easy way—without writing a single line of code. In this tutorial, I’ll walk you through the entire process using the Claude Desktop Extension so you can get ...
The Phase 2b study demonstrated a statistically significant dose-response relationship at the primary endpoint following a single administration of MM120 across four dose levels, with improvements ...
In this tutorial, we’ll explore how to implement OAuth 2.1 for MCP servers step by step. To keep things practical, we’ll build a simple finance sentiment analysis server and secure it using Scalekit, ...
以下のtutorialを試しに対応してみます Caludeで紹介されていますがcursorでの使用を想定して対応します This guide will help you use LLMs to help you build custom Model Context Protocol (MCP) servers and clients. We'll be ...
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