Webinar: Serverless Generative AI mit Llama2 und Fermyon Cloud

Meta hat mit der Llama 4-Familie eine neue Generation von KI-Modellen vorgestellt, die durch zwei wesentliche Innovationen hervorsticht: ein 10-Millionen-Token-Kontextfenster und native Multimodalität. Die Familie besteht aus Scout (109 Milliarden Parameter), Maverick (400 Milliarden Parameter) und dem noch in Entwicklung befindlichen Behemoth (2 Billionen Parameter). Durch die Mixture-of-Experts-Architektur und Unterstützung für 200 Sprachen bieten diese Modelle europäischen Unternehmen eine attraktive Alternative zu proprietären Lösungen. Trotz hoher Hardware-Anforderungen und einiger Lizenzeinschränkungen ermöglichen sie eine souveräne KI-Strategie ohne Vendor Lock-in bei gleichzeitig wettbewerbsfähiger Leistung und Kosteneffizienz.

Künstliche Intelligenz (KI) ist spätestens seit der Veröffentlichung von ChatGPT in aller Munde. Wit WebLLM können Sie einen KI-Chatbot in Ihre eigenen Angular-Anwendungen integrieren. Wie das funktioniert und welche Vor- und Nachteile WebLLM hat, lesen Sie hier.

With the rise of powerful AI models and services, questions come up on how to integrate those into our applications and make reasonable use of them. While other languages like Python already have popular and feature-rich libraries like LangChain, we are missing these in .NET and C#. But there is a new kid on the block that might change this situation. Welcome Semantic Kernel by Microsoft!

There are a lot of things going on in the background, when a Blazor WebAssembly application is being started. In some cases you might want to take a bit more control over that process. One example might be the wish to display a loading screen for applications that take some time for initial preparation, or when users are on a slow internet connection. However, in order to control something, we need to understand what is happening first. This article takes you down the rabbit hole of how a Blazor WASM application starts up.

Blazor WebAssembly is a powerful framework for building web applications that run on the client-side. With Project Fugu APIs, you can extend the capabilities of these apps to access new device features and provide an enhanced user experience. In this article, learn about the benefits of using Project Fugu APIs, the wrapper packages that are available for Blazor WebAssembly, and how to use them in your application.

Whether you're a seasoned Blazor developer or just getting started, this article will help you add superpowers to your Blazor WebAssembly app.

ASP.NET Core Blazor is Microsoft's framework for implementing web-based applications, aimed at developers with knowledge of .NET and C#. It exists alongside other frameworks such as ASP.NET Core MVC. About two and a half years after the release of Blazor WebAssembly and based on our experiences from many customer projects at Thinktecture, we want to have a close look at the following questions: What is the current state of the framework? How can you successfully use Blazor? And where does it have limitations?