microsoftazure
By Simon Bisson Once you get past the chatbot hype, it’s clear that generative AI is a useful tool, providing a way of navigating applications and services using natural language. By tying our large language models (LLMs) to specific data sources, we can avoid the risks that come with using nothing but training data. While it is possible to fine-tune an LLM on specific data, that can be expensive and time-consuming, and it can also lock you into a specific time frame. If you want accurate, timely responses, you need to use retrieval-augmented generation (RAG) to work with your data. RAG: the h...
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By Paul Krill GitHub Actions, an automated CI/CD platform for GitHub, has been enhanced for enterprise customers, with capabilities including stronger security and GPU-enhanced runners for machine learning. GitHub announced updates to its hosted runner fleet for Actions on April 2. To strengthen security, GitHub Actions now offers Azure private networking for GitHub-hosted runners. The feature combines compute-in-the-cloud with secure access and control over network security, eliminating the overhead of maintaining infrastructure. Hosted runners for every major operating system are intended to...
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By Paul Krill Microsoft is adding safety and security tools to Azure AI Studio, the company’s cloud-based toolkit for building generative AI applications. The new tools include protection against prompt injection attacks, detection of hallucinations in model output, system messages to steer models toward safe output, model safety evaluations, and risk and safety monitoring. Microsoft announced the new features on March 28. Safety evaluations are now available in preview in Azure AI Studio. The other features are coming soon, Microsoft said. Azure AI Studio, also in preview, can be accessed fro...
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By Simon Bisson With KubeCon Europe taking place this week, Microsoft has delivered a flurry of Azure Kubernetes announcements. In addition to a new framework for running machine learning workloads, new workload scheduling capabilities, new deployment safeguards, and security and scalability improvements, Microsoft has placed a strong emphasis on developer productivity, working to improve the developer experience and helping reduce the risks of error. Prior to the event I sat down with Brendan Burns, one of the creators of Kubernetes, and now CVP, Azure Open Source and Cloud-Native at Microsof...
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By Simon Bisson Falco, the open-source, cloud-native, runtime security tool, recently graduated from the Cloud Native Computing Foundation’s incubation program. That means it’s considered stable and ready for use in production environments, including Azure. It joins many of the key components of a cloud-native platform including Helm, Envoy, etcd, KEDA, and Cloud Events. I recently had a conversation with Loris Degioanni, the CTO and founder of cloud-native security company Sysdig and the creator of Falco, about the philosophy behind the project and how it’s being used across Kubernetes applic...
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By Paul Krill Low-code development platform provider OutSystems has released AI Agent Builder, a no-code tool for building custom generative AI agents using large language models (LLMs) from Azure OpenAI or Amazon Bedrock. Part of the OutSystems Developer Cloud Platform and announced March 12, AI Agent Builder is intended to make it easy to incorporate generative AI-powered applications into a digital transformation strategy and govern the use of AI for standardization and security, the company said. Key features of AI Agent Builder include custom AI agent development, a library of “quickstart...
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By Prasanth Aby Thomas Microsoft has partnered with Mistral AI to make the latter available to its Azure customers, adding more options to enterprise customers. Mistral AI is set to enrich Azure’s AI offerings, introducing its premium models via Azure AI Studio’s Models as a Service (MaaS) and the Azure Machine Learning model catalog. This move complements the existing array of OpenAI models, broadening the catalog with a versatile mix of open source and proprietary AI solutions, thereby enhancing the options available to Azure customers. “This latest addition of Mistral AI’s premium models in...
Computer World
By Prasanth Aby Thomas Microsoft has partnered with Mistral AI to make the latter available to its Azure customers, adding more options to enterprise customers. Mistral AI is set to enrich Azure’s AI offerings, introducing its premium models via Azure AI Studio’s Models as a Service (MaaS) and the Azure Machine Learning model catalog. This move complements the existing array of OpenAI models, broadening the catalog with a versatile mix of open source and proprietary AI solutions, thereby enhancing the options available to Azure customers. “This latest addition of Mistral AI’s premium models in...
Computer World
By Jon Gold News that Microsoft plans to retire its Azure IoT Central platform, used by many developers to create customized IoT (internet of things) frameworks for large-scale deployments, has been partially walked back by the tech giant, prompting confusion among IoT experts. A system message issued earlier this month stated that the service would be retired as of March 2027, and that new applications couldn’t be created as of April 1, 2024, according to reporting from The Register. Microsoft subsequently walked this back, in a blog post authored by Kam VedBrat, general manager and head of p...
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By Simon Bisson One of the great advantages of using the public cloud is the ability to deploy applications and services at scale. But scale has a flip side, as working with dozens or hundreds of servers imposes new constraints on systems administration. Where we could manage one or two devices using a CLI or a GUI, or 10 or 20 devices using our own scripts, managing a massive fleet of devices requires a very different approach. We need infrastructure as code and automation. This approach is the basis for Microsoft’s Azure Automation, a collection of tools for managing virtual infrastructures ...
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