Microsoft Research Lab – Redmond
News & features
In the news | Geeky Gadgets
Microsoft AutoGen lets you build AI Agent frameworks for problem-solving
Microsoft has quietly made available a new framework that enables development of large language model (LLM) applications using multiple agents that can converse with each other to solve tasks. AutoGen agents are customizable, conversable, and seamlessly allow human participation. They…
In the news | Steemit
Microsoft’s AutoGen Framework Let’s AI Talk to Each Other and Solve Problems + GPT-4V(ision) Rollout
I like to dig deep into things and cripple myself in too many research. Many of the things I look into do not make it to my articles due to various reasons. I am not going to risk being distracted…
In the news | WinBuzzer
Microsoft Reveals AutoGen-Framework for Conversational AI Systems
Microsoft’s AutoGen streamlines the development of multi-agent conversation systems, making agents reusable and composable. Microsoft has introduced AutoGen, a novel framework designed to streamline the orchestration, optimization, and automation of large language model (LLM) applications.
In the news | BigTechWire
Microsoft With Autogen, Microsoft Simplifies Putting Large Language Models to Real Work
In the ever-expanding world of artificial intelligence (AI), Large Language Models (LLMs) like GPT-4 have shown enormous potential. However, the challenge lies in efficiently implementing these LLMs in complex, real-world applications. Microsoft Research’s Autogen framework aims to change that, making…
AI Frontiers: The future of scale with Ahmed Awadallah and Ashley Llorens
| Ahmed Awadallah and Ashley Llorens
What’s the driving force behind AI’s recent, rapid progress? Research manager Ahmed Awadallah shares his insights on this, the two-stage approach to training large-scale models, and the need for better model evaluation in this episode of the #MSRPodcast.
Microsoft at ACM SIGCOMM 2023: Innovating the future of networking
| Ranveer Chandra, Eashan Gupta, Ilias Marinos, Anuj Kalia, Francis Y. Yan, Rohan Gandhi, Venkat Padmanabhan, Sreangsu Acharyya, Siva Kesava Reddy Kakarla, and Dave Maltz
Editor’s note, Sept. 19, 2023 – The number of papers accepted at SIGCOMM was updated to correct a factual error. Modern applications heavily rely on robust network infrastructure, requiring continuous innovation. In this evolving landscape, Microsoft is at the forefront,…
In the news | VentureBeat
Meet Phi-1.5, the new language model that could make training AI radically cheaper and faster
By generating curated, high quality, synthetic data using existing LLMs (in this case, OpenAI’s ChatGPT) and training a new model on this, the researchers are able to achieve results comparable to leading LLMs at a fraction of the cost and…
Understanding social biases through the text-to-image generation lens
| Ranjita Naik and Besmira Nushi
Gender, race, and age disparities in AI-generated images persist. This AIES 2023 study on text-to-image models shows that even basic prompts can lead to underrepresentation, calling for responsible bias mitigation strategies.
Intern Insights: Dr. Josh Benaloh with Anunay Kulshrestha and Karan Newatia
| Josh Benaloh, Anunay Kulshrestha, and Karan Newatia
Every year, interns help advance research at Microsoft. In “Intern Insights,” PhD students Anunay Kulshrestha and Karan Newatia talk with cryptographer Josh Benaloh about working on the verifiable election technology ElectionGuard.