What’s new with Microsoft in open source and Kubernetes at Open Source Summit and KubeCon India
When building with AI on Azure Kubernetes Service, getting a model running is just the beginning.
AI + Machine Learning
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Introducing STATE-Bench: A benchmark for AI agent memory
STATE-Bench is an open-source, memory-agnostic benchmark freely available to agent developers, researchers, and platform teams. -
Conductor: Deterministic orchestration for multi-agent AI workflows
Conductor is an open-source CLI (MIT license, Microsoft org) that takes a different approach: you define your multi-agent workflows in YAML, and the routing between agents is deterministic. -
PostgreSQL enters its AI era: Run PostgreSQL like a pro in the era of AI and rapid growth
Postgres can handle intelligent workloads and scale without sacrificing security, performance, reliability, or operational ease. -
Microsoft’s open source journey: From 20,000 lines of Linux code to AI at global scale
From Linux kernel code to AI at scale, discover Microsoft’s open source evolution and impact. -
Optimizing memory usage in large language models fine-tuning with KAITO: Best practices from Phi-3
The Cloud Native team at Azure is working to make AI on Kubernetes more cost-effective and approachable for a broader range of users. -
Build a Hyperlight C guest to securely execute JavaScript
This article will show you how to create a “guest” application that uses the Hyperlight library. -
What’s new with Microsoft in open-source and Kubernetes at KubeCon North America 2024
At Microsoft, we are committed to innovation in the cloud-native ecosystem through contributions and leadership from engineers across Azure. -
On-Device Training: Training a model in browser
Continuing the ONNXRuntime On-Device Training blog series, we are introducing ONNX Runtime Training for Web. -
Exploring DragGAN implementation using ONNX Runtime
Get a technical overview of the Microsoft implementation of the DragGAN2 algorithm using ONNX Runtime. -
Recommenders joins LF AI & Data as new Sandbox project
LF AI & Data Foundation announced Recommenders as its latest Sandbox project. -
Accelerating over 130,000 Hugging Face models with ONNX Runtime
ONNX models can be accelerated with ONNX Runtime, which works cross-platform and provides coverage for many cloud and language models.
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