Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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LM-Kit.NET
LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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Mistral Small 3.1
Mistral Small 3.1 represents a cutting-edge, multimodal, and multilingual AI model that has been released under the Apache 2.0 license. This upgraded version builds on Mistral Small 3, featuring enhanced text capabilities and superior multimodal comprehension, while also accommodating an extended context window of up to 128,000 tokens. It demonstrates superior performance compared to similar models such as Gemma 3 and GPT-4o Mini, achieving impressive inference speeds of 150 tokens per second. Tailored for adaptability, Mistral Small 3.1 shines in a variety of applications, including instruction following, conversational support, image analysis, and function execution, making it ideal for both business and consumer AI needs. The model's streamlined architecture enables it to operate efficiently on hardware such as a single RTX 4090 or a Mac equipped with 32GB of RAM, thus supporting on-device implementations. Users can download it from Hugging Face and access it through Mistral AI's developer playground, while it is also integrated into platforms like Google Cloud Vertex AI, with additional accessibility on NVIDIA NIM and more. This flexibility ensures that developers can leverage its capabilities across diverse environments and applications.
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Mistral Medium 3.1
Mistral Medium 3.1 represents a significant advancement in multimodal foundation models, launched in August 2025, and is engineered to provide superior reasoning, coding, and multimodal functionalities while significantly simplifying deployment processes and minimizing costs. This model is an evolution of the highly efficient Mistral Medium 3 architecture, which is celebrated for delivering top-tier performance at a fraction of the cost—up to eight times less than many leading large models—while also improving tone consistency, responsiveness, and precision across a variety of tasks and modalities. It is designed to operate effectively in hybrid environments, including on-premises and virtual private cloud systems, and competes strongly with high-end models like Claude Sonnet 3.7, Llama 4 Maverick, and Cohere Command A. Mistral Medium 3.1 is particularly well-suited for professional and enterprise applications, excelling in areas such as coding, STEM reasoning, and language comprehension across multiple formats. Furthermore, it ensures extensive compatibility with personalized workflows and existing infrastructure, making it a versatile choice for various organizational needs. As businesses seek to leverage AI in more complex scenarios, Mistral Medium 3.1 stands out as a robust solution to meet those challenges.
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