Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Outil
MX Pytorch Emulation Library
PyTorch emulation library for Microscaling (MX)-compatible data formats
Blog de recherche Microsoft
Orca 2: Teaching Small Language Models How to Reason
At Microsoft, we’re expanding AI capabilities by training small language models to achieve the kind of enhanced reasoning and comprehension typically found only in much larger models.
Projet
Orca
Using AI, to improve AI Orca is a research team in Microsoft Research. Orca focuses on creating automated pipelines for creating high-quality synthetic data at scale, and training models for specialization and model self-improvement. Orca’s research…
Blog de recherche Microsoft
Lifelong model editing in large language models: Balancing low-cost targeted edits and catastrophic forgetting
Lifelong model editing fixes mistakes discovered after model deployment. This work could expand sequential editing to model properties like fairness and privacy and enable a new class of solutions for adapting LLMs over long deployment…
Baladodiffusion
Abstracts: November 20, 2023
Today I’m talking to Shrey Jain, an applied scientist at Microsoft Research, and Dr. Zoë Hitzig, a junior fellow at the Harvard Society of Fellows.
Blog de recherche Microsoft
Skeleton-of-Thought: Parallel decoding speeds up and improves LLM output
This research was accepted by the 2024 International Conference on Learning Representations. Large language models (LLMs) such as LLaMA and OpenAI’s GPT-4 are revolutionizing technology. However, one of the common complaints about LLMs is their…
Vidéo
The Azure Cognitive Services on Spark: Clusters with Embedded Intelligent Services | Spark Summit Europe 2018
We present the Azure Cognitive Services on Spark, a simple and easy to use extension of the SparkML Library to all Azure Cognitive Services. This integration allows Spark Users to embed cloud intelligence directly into…
Vidéo
Apache Spark Serving: Unifying Batch, Streaming, and RESTful Serving | Spark Summit Europe 2018
We present Spark Serving, a new spark computing mode that enables users to deploy any Spark computation as a sub-millisecond latency web service backed by any Spark Cluster. Attendees will explore the architecture of Spark…
