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Turns Codebase into Easy Tutorial with AI
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Tutorials for making 3D-looking maps with Blender and QGIS
Supporting PyTorch models with the Google AI Edge TFLite runtime.
MCPEngine is a client, server, and proxy implementation of model context protocol (MCP) specifically oriented towards Enterprise and real-world remote MCP applications.
Data and tools for generating and inspecting OLMo pre-training data.
Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research
A virtual environment for developing and evaluating automated scientific discovery agents.
MedAgentSim: Self-Evolving Multi-Agent Simulations for Realistic Clinical Interactions
CUDA Python: Performance meets Productivity
Toolkit for linearizing PDFs for LLM datasets/training
LongEmbed: Extending Embedding Models for Long Context Retrieval (EMNLP 2024)
Repo housing the open sourced code for the ai2 scholar qa app and also the corresponding library
Code for the EMNLP'24 paper "Learning to Extract Structured Entities Using Language Models"
HTTP load testing tool and library. It's over 9000!
Official Implementation of "KBLaM: Knowledge Base augmented Language Model"
The NVIDIA AgentIQ toolkit is an open-source library for efficiently connecting and optimizing teams of AI agents.
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
Exploration of automated dataset selection approaches at large scales.
Official implementation of "TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models"
Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
OctoTools: An agentic framework with extensible tools for complex reasoning
A collection of production-ready Generative AI Agent templates built for Google Cloud. It accelerates development by providing a holistic, production-ready solution, addressing common challenges (D…
Recipes to scale inference-time compute of open models