No Clocks

RAG pipelines are the key to providing your LLM-powered apps with fresh, accurate data. In this guide, we explore best practices and antipatterns.

This article delves into the technical intricacies of Agentic AI Architecture, exploring its core components, key principles, development phases, technological integrations, applications, challenges, and future directions.

This guide outlines how to create efficient agentic systems by focusing on three layers: tools, reasoning, and action. Each layer presents unique challenges that can impact overall system performance.

The Automated Design of Agentic Systems (ADAS) is a unique approach in AI that enables the creation of agents capable of designing, testing, and refining themselves.

Explore essential AI tools for R programming to enhance your low-code development capabilities and streamline your projects. | Restackio

Introduction. Few days ago I discovered the OpenAI Gym library which is a bunch of standardized AI environments written in Python to benchmark the skills of AI programs and scripts, aka agents.

Like many of you, my first real exposure to AI was when ChatGPT dropped. I spent way too much time prompting it with random stuff, used it for some PowerShell, and tried out the voice feature when that launched. Mostly, I’ve used AI for things like writing docs, double-checking my grammar and English, and making some funny pictures.

Let’s start this with some confessions: I’m at best an enthusiastic amateur with AI. I know more than most, and I know nothing in the grand scheme. Example: I’m not sure I have any idea of what an AI agent is. I think I do, but there’s so much marketing hype around them that I

Use Meta Prompting to rapidly generate results in the GenAI Age - README.md

Generating diagrams with AI / LLMs

Replace 'hub' with 'ingest' in any GitHub URL for a prompt-friendly text.

A flexible, feature-rich yet light-weight logging framework based on R6 classes. It supports hierarchical loggers, custom log levels, arbitrary data fields in log events, logging to plaintext, JSON, (rotating) files, memory buffers. For extra appenders that support logging to databases, email and push notifications see the the package lgr.app.

Please remember you are using a beta version of mcpx and mcp.run services.

Hi Obsidian Community! https://github.com/PublikPrinciple/obsidian-mcp-rest I’m working on implementing an MCP (Model Context Protocol) server that integrates with Obsidian’s Local REST API plugin. The goal is to allow AI assistants like Claude to interact directly with Obsidian vaults in a secure, local manner. Project Overview GitHub Repository: GitHub - PublikPrinciple/obsidian-mcp-rest: An MCP server implementation for accessing Obsidian via local REST API Purpose: Enable AI assistants ...

Learn about Claude Code, an agentic coding tool made by Anthropic. Currently in beta as a research preview.

Get started building your own server to use in Claude for Desktop and other clients.

Anthropic developed the Model Context Protocol (MCP), an open standard that connects AI assistants to systems where data actually lives—content repositories, business tools, development environments, and more.

Introducing agent mode for GitHub Copilot in VS Code, announcing the general availability of Copilot Edits, and providing a first look at our SWE agent.

Learn about generative AI workflows in Vertex AI, available models (including Gemini), and how to start building your generative AI app.

Support chat with Large Language Models. Contribute to choonghyunryu/chat2doc development by creating an account on GitHub.

testthat-style LLM evaluation for R. Contribute to simonpcouch/evalthat development by creating an account on GitHub.

Provides a number of utilities for describing R objects and package documentation in plain text. For interactive use, this is especially powerful for describing relevant pieces of context to large language models. When used programmatically, these utilities can be registered with ellmer chats as tool calls, enabling language models to peruse package documentation and explore your computational environment.

A post for developers with advice and workflows for building effective AI agents

Overview of Desired State Configuration 2.0

The HUD-eGIS Storefront provides a one-stop shop where users can search for and discover HUD's geospatial datasets, web-based mapping, tools, and application program interfaces (APIs).

The HUD-eGIS Storefront provides a one-stop shop where users can search for and discover HUD's geospatial datasets, web-based mapping, tools, and application program interfaces (APIs).