GraphRAG: Improving global search via dynamic community selection
| Bryan Li, Ha Trinh, Darren Edge, and Jonathan Larson
Retrieval-augmented generation (RAG) helps AI systems provide more information to a large language model (LLM) when generating responses to user queries. A new method for conducting “global” queries can optimize the performance of global search in GraphRAG.
In the news | Forbes
Work On the Wild Side: How AI Is Helping Conservation in Africa and the Huge Potential of Environment Recordings
From the rainforest to the ocean, artificial intelligence is decoding nature’s most complex data patterns and is proving to be a game-changer in conservation.
In the news | NBC News
Vatican creates exhibit that will replicate St. Peter’s Basilica using AI
"The People's Basilica" is a 3D replica of St. Peter's Basilica that was made using AI in the Vatican. NBC News' Claudio Lavanga has more on the exhibit and how the model was made.
Orca-AgentInstruct: Agentic flows can be effective synthetic-data generators
| Arindam Mitra, Ahmed Awadallah, and Yash Lara
Orca-AgentInstruct, from Microsoft Research, can generate diverse, high-quality synthetic data at scale to post-train and fine-tune base LLMs for expanded capabilities, continual learning, and increased performance.
Abstracts: November 14, 2024
| Bonnie Kruft and Tong Wang
The efficient simulation of molecules has the potential to change how the world understands biological systems and designs new drugs and biomaterials. Tong Wang discusses AI2BMD, an AI-based system designed to simulate large biomolecules with speed and accuracy.
In the news | Forbes
From AI And 400,000 Photos, A Richly Detailed St. Peter’s Basilica
A sweeping new digital twin of St. Peter’s Basilica, the 400-year-old Vatican City church considered central to Christianity, lets visitors explore the structure’s renowned Renaissance architecture and historic treasures from anywhere in the world without having to board a plane…
In the news | Russell Reynolds Associates
Microsoft’s Vijay Mital Explains How CEOs Can Guide Their Organizations Through Radical Product Innovation with AI
AI can drive radical product innovation, transforming business models and industries. To unlock this opportunity, CEOs must lead with vision and curiosity.
Toward modular models: Collaborative AI development enables model accountability and continuous learning
| Lucas Caccia, Darya Moldavskaya, and Alessandro Sordoni
Modular models can democratize AI development while unlocking new benefits and use cases. Modularized AI can be more flexible, more compliant, and cheaper to develop—requiring less data and fewer compute resources to train expert models.
Research Focus: Week of November 11, 2024
Holistic motion-capture calibration technique without calibration, manual intervention or custom hardware; Research on AI agents for autonomous clouds; Automating proof-oriented program construction; One-to-many testing for natural language code generation.