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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RaimaDB
RaimaDB, an embedded time series database that can be used for Edge and IoT devices, can run in-memory. It is a lightweight, secure, and extremely powerful RDBMS. It has been field tested by more than 20 000 developers around the world and has been deployed in excess of 25 000 000 times.
RaimaDB is a high-performance, cross-platform embedded database optimized for mission-critical applications in industries such as IoT and edge computing. Its lightweight design makes it ideal for resource-constrained environments, supporting both in-memory and persistent storage options. RaimaDB offers flexible data modeling, including traditional relational models and direct relationships through network model sets. With ACID-compliant transactions and advanced indexing methods like B+Tree, Hash Table, R-Tree, and AVL-Tree, it ensures data reliability and efficiency. Built for real-time processing, it incorporates multi-version concurrency control (MVCC) and snapshot isolation, making it a robust solution for applications demanding speed and reliability.
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Mistral Small
On September 17, 2024, Mistral AI revealed a series of significant updates designed to improve both the accessibility and efficiency of their AI products. Among these updates was the introduction of a complimentary tier on "La Plateforme," their serverless platform that allows for the tuning and deployment of Mistral models as API endpoints, which gives developers a chance to innovate and prototype at zero cost. In addition, Mistral AI announced price reductions across their complete model range, highlighted by a remarkable 50% decrease for Mistral Nemo and an 80% cut for Mistral Small and Codestral, thereby making advanced AI solutions more affordable for a wider audience. The company also launched Mistral Small v24.09, a model with 22 billion parameters that strikes a favorable balance between performance and efficiency, making it ideal for various applications such as translation, summarization, and sentiment analysis. Moreover, they released Pixtral 12B, a vision-capable model equipped with image understanding features, for free on "Le Chat," allowing users to analyze and caption images while maintaining strong text-based performance. This suite of updates reflects Mistral AI's commitment to democratizing access to powerful AI technologies for developers everywhere.
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Pixtral Large
Pixtral Large is an expansive multimodal model featuring 124 billion parameters, crafted by Mistral AI and enhancing their previous Mistral Large 2 framework. This model combines a 123-billion-parameter multimodal decoder with a 1-billion-parameter vision encoder, allowing it to excel in the interpretation of various content types, including documents, charts, and natural images, all while retaining superior text comprehension abilities. With the capability to manage a context window of 128,000 tokens, Pixtral Large can efficiently analyze at least 30 high-resolution images at once. It has achieved remarkable results on benchmarks like MathVista, DocVQA, and VQAv2, outpacing competitors such as GPT-4o and Gemini-1.5 Pro. Available for research and educational purposes under the Mistral Research License, it also has a Mistral Commercial License for business applications. This versatility makes Pixtral Large a valuable tool for both academic research and commercial innovations.
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