WritingBench: A Comprehensive Benchmark for Generative Writing

AgentNetworkProtocol(ANP) is an open source protocol for agent communication. Our vision is to define how agents connect with each other, building an open, secure, and efficient collaboration netwo…

Highly configurable, extensible and performant Service Fabric watchdog service that, out of the box, monitors a broad range of physical machine resources that tend to be very important to Service F…

A lightweight data processing framework built on DuckDB and 3FS.

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

this repo contains code for llms to take in story beats and produce prose

🧠🔗 Graph-Based Programmable Neuro-Symbolic LM Framework - a production-first LM framework built with decade old Deep Learning best practices

A curated list of references for MLOps

Building a highly secure, multi-tenant SaaS in ASP.NET Core with tenant-aware authentication, SSO claims, and hidden ASP.NET signatures for enhanced security and performance.

Official codebase for "SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution"

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

10 Lessons to Get Started Building AI Agents

A modern, high customizable, responsive Jekyll theme for documentation with built-in search.

"MiniRAG: Making RAG Simpler with Small and Free Language Models"

PLACER is graph neural network for local prediction of protein-ligand conformational ensembles.

Azure Content Understanding

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Quantalogic ReAct Agent - Coding Agent Framework - Gives a ⭐️ if you like the project

PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides: https://arxiv.org/abs/2501.03936

A structured template for building robust generative AI applications

Sample code and notebooks for Generative AI on Google Cloud

Collection for your Data Science Learning

This repository contains the revised version of the NLP lab at HCMUT. The lab is designed to help students understand the basic concepts of NLP and apply them to solve real-world problems.

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

This repository contains LLM (Large language model) interview question asked in top companies like Google, Nvidia , Meta , Microsoft & fortune 500 companies.

Implementing the 4 agentic patterns from scratch