This blog post explores the development and evaluation of an AI assistant that converts natural language into robotic code.
Azure Machine Learning is known for training and deploying models, but can also be used for running experiments. This blog post will show us how we have implemented our Evaluation platform on Azure Machine Learning.
A synopsis of our key learnings and findings from using Semantic Kernel.
In the dynamic world of AI and data science developing production-level solutions for corporate environments comes with its own set of challenges and lessons. As a data science team working within Microsoft, we recently completed an engagement for a large company where we leveraged cutting-edge technologies, including OpenAI tools, GPT-4o for gener...
This post examines the challenges of adopting complex technologies like LangChain and agentic solutions in production environments, emphasizing the importance of understanding the necessity of such complexity. It provides insights on how to evaluate these technologies carefully, manage dependencies, and adhere to best practices for secure and stabl...
Introduction The Consumer Packaged Goods (CPGs) industry relies on multiple channels for selling the products and aims to provide a seamless buying experience for the consumer. With the advent of omni-channel retailing, Consumer Packaged Goods (CPGs) and retailers are striving towards providing the best possible experience to the customer alongsid...
An innovative solution has been developed to address challenges in deploying applications in distributed environments with multiple clusters. These challenges encompass scenarios like edge deployments across regions and distributing components across numerous co-located clusters. While Kubernetes is commonly used for orchestrating deployments throu...
A Practical Guide to API Design-First Development with TypeSpec and OpenAPI
