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Vector data ➕ Non-vector data ➕ Event stream data Learn how LangStream makes it easier to build scalable, production-ready, real-world AI applications on a broad range of data types. https://dtsx.io/48qSB4e #GenAI #VectorDB #OpenSource #EventStreaming #VectorDatabase

🚀 Dive into Part 4 of our ML series: "Experimenting with MLFlow and Microsoft Fabric"! 🌟 Discover the art of perfecting machine learning models through systematic experimentation in our latest post. We're exploring how Fabric simplifies the use of MLFlow for tracking experiments, managing configurations, and ensuring your ML projects are both reproducible and efficient. If you've ever found yourself lost in the complexities of machine learning setups, this piece is for you. Find out how to leverage powerful tools to streamline your ML workflow and boost your project outcomes. #MicrosoftFabric #MachineLearning #DataScience #MLFlow

Solution: Netsonar Synthetic Testing We have recently published a new solution page that is a an overview of the solution brief found here: https://lnkd.in/g3A5sbj9. This solutions page on the power of combing synthetic data, AI based analytics and automated workflows describes our approach and highlights the benefits of combining methodologies for superior performance in network, compute, and storage infrastructure. You can view the solution page here: https://lnkd.in/gsvuRfV7. #augtera #ai #ml #syntheticdata #storage #network #automatedworkflows

Discover how you can easily integrate DeepL translation workflows into your TMS or CMS using Lilt's API and connectors, whether it's through AI alone or with human review. Watch the webinar clip on YouTube in the comment section.

Excited to share some amazing updates in our latest release! 🚀 - Performance Metrics: Now track metrics for each API function, server function, webhook, and trigger execution. - GPT 4.0 Turbo: Upgraded our AI Assistant for faster, more accurate development and testing. - Enhanced Search Algorithm: Improved function discovery in our catalog. - User Intended Messages: New filtering feature for AI Agent conversations. - Webhook Event Handlers: Added { waitForResponse: true } for better client-server interactions. - Python & Java Clients: Enhanced with new features like tree views and performance optimizations. - Infrastructure Upgrades: Including in-house Redis Cache and default horizontal scaling.

If you are wondering about the intersection of Regulation and AI in finance, a great place to start is to understand the impact of SR11-7. Learn more about how Protect AI can help you meet these compliance elements, and build more #secureai by implementing #MLSecOps.

Want to hear from Harrison Chase, the legendary Founder and CEO of LangChain himself ⁉ Register Here: https://bit.ly/3F9dUd8 to learn directly from LangChain CEO and Founder Harrison Chase along with Tisson Mathew, Founder and CEO of Skypoint, as they share their hard-earned insights from their experience with production RAG apps that harness customer data with the power of LangChain, Large Language Models (LLM), and Vector Search technology... including how DataStax database products and tools like AstraDB. Think about this... for every 1000 gen AI prototype, only a handful make it to production. Open-source tools like LangChain and Astra DB allow developers to get their applications to production with fewer hallucinations and meet the most stringent security and performance requirements. We will explore: How to use LangChain for RAG with vector search for Generative AI  Hot takes from Harrison on whether LangChain can get apps “production ready”  Features used to stop hallucinations like FLARE and Multiple Retrieval Sources Data protection and compliance considerations for Generative AI Live Demo of Skypoints production RAG application #Learn #AI #RAG #LLM #GPT #LearnAI #LearnRAG #LearnLLM #AIwebinar #RAGwebinar #LLMwebinar #GPTwebinar

New from Accuris: Goldfire Chat💡 Built on the robust foundation of Goldfire's semantic search capabilities, Goldfire Chat is a conversational interface that uses #GenAI and the Goldfire search engine to deliver insightful, predictive responses to your questions. Learn how Goldfire Chat can improve your engineering project output: https://hubs.la/Q02GQdr30

🔍✨ A useful resource if you interested in vector databases for AI/ML 🚀🤖 Vector data representation (embedding) is quite important in AI/ML, as arrays of numbers enables machines to understand and process various types of data. Vector databases play a vital role in data management by efficient retrieval of unstructured data. 🌐📊 https://lnkd.in/dRvHpSwQ - a source of various vector databases in the form of a table with the ability to compare. This is a useful resource that can be used for the analysis, visualization, and comparison of different types of vector databases. Why should you pay attention to vector databases? - ChatGPT and similar chatbots: With the growing popularity of ChatGPT, vector databases play a crucial role, allowing chatbots to understand and use the custom data.  - Semantic search: Vector databases form the foundation for semantic search systems, making online searches more precise and efficient. - Recommendations: From Netflix to Amazon, recommendations are based on vector databases, making your online experience more personalized and enjoyable. This resource will help you better understand various types of databases and compare their capabilities. More about vector databases: https://lnkd.in/dYT72XyY #ArtificialIntelligence #MachineLearning #VectorDatabases #chatgpt #embedding #DataScience #AI #ML