Jai Behl’s Post

Excited to share that Databricks is rolling out the Mosaic AI Agent Framework and Agent Evaluation! This awesome new framework is designed to make it way easier to build, deploy, and evaluate AI agents. We’re all about making AI more accessible so you can get the most out of your data and analytics projects. With Mosaic, we're stepping up our game in AI development, offering tools that can create smart agents to transform business processes and help make better decisions. #Databricks #MosaicAI #AI #MachineLearning #DataScience

🌟Elevating AI Applications with Databricks Mosaic AI Agent Framework 🤖 Databricks introduces the Mosaic AI Agent Framework and Agent Evaluation to enhance the development and deployment of high-quality Generative AI applications. This powerful combination addresses key challenges in creating accurate, safe, and efficient AI solutions. 🔍 Key Insights: 🔹 Human Feedback Integration: Agent Evaluation allows subject matter experts to provide feedback on AI outputs, ensuring high-quality responses. 🔹 Advanced Quality Metrics: The framework offers a suite of metrics for evaluating application quality, such as accuracy, hallucination, and relevance, helping to identify and resolve quality issues efficiently. 🔹 End-to-End Development: Integrated with MLflow, the framework supports the entire development lifecycle from logging models to deployment, making it easier to build, evaluate, and scale GenAI applications. 🌐 Real-World Applications: 🔹 Healthcare: Improve patient diagnosis tools with accurate and safe AI responses. 🔹 Finance: Enhance customer service chatbots for better user experience and support. 🔹 Retail: Develop sophisticated AI-driven recommendation systems that respond effectively to customer queries. 👉 https://lnkd.in/d7EHWGgg #AI #AIAgent #AIEvaluation #MachineLearning #Mosaic #GenerativeAI #Databricks #DataScience

Learn how Observe's unified observability platform with advanced #AI simplifies #troubleshooting complex apps by bringing together #metrics, #traces, and #logs. Tom Smith from DZone spoke with Observe CEO, Jeremy Burton to discuss: • Unifying Observability Data • Optimizing Kubernetes and Cloud-Native Apps • Leveraging AI and Machine Learning • Improving Economics and Customer Experience https://lnkd.in/g924wtfU

Great article on how FactSet is empowering clients and developers with AI-driven solutions and supercharge workflows! Databricks has been instrumental in supporting this innovation by providing a flexible platform for building solutions centered around data and AI. #DataDriven #AI #GenAI #Innovation #Databricks #FactSet https://lnkd.in/gJJB3Xzw

Over the last year, we have seen a surge of commercial and open-source foundation models showing strong reasoning abilities on general knowledge tasks. While general models are an important building block, production AI applications often employ Compound AI Systems, which leverage multiple components such as tuned models, retrieval, tool use, and reasoning agents. AI systems augment foundation models to drive much better quality and help customers confidently take these GenAI apps to production. Today at the Data and AI Summit, we announced several new capabilities that make Databricks Mosaic AI the best platform for building production-quality AI systems. These features are based on our experience working with thousands of companies to put AI-powered applications into production. Today’s announcements include support for fine-tuning foundation models, an enterprise catalog for AI tools, a new SDK for building, deploying, and evaluating AI Agents, and a unified AI gateway for governing deployed AI services.

Interesting read for organisations looking to leverage AI to turn raw data into actionable insights. Summary of the article: What’s Interesting: Companies are leveraging AI to process massive amounts of data, uncover patterns, and automate tasks, boosting productivity and customer satisfaction. Why Companies Should Care: Traditional databases struggle with unstructured, high-dimensional data. Vector databases handle this data better, making them crucial for high-performance AI applications like large language models (LLMs) and predictive analytics. Impact: This 'AI factory' model streamlines decision-making and automates processes. For example, in healthcare, AI analyses real-time patient data to improve care. In finance, it helps predict market trends. Vector databases are the first step in taking large amounts of unstructured data and using AI to filter through it for insights. #VectorDatabase #GenAI #Mongodb

Databricks announces new products to simplify agent and RAG development, model fine-tuning, AI evaluation, tools governance, and more as part of Mosaic AI: Build and deploy production-quality Compound AI Systems. Over the past year, there has been significant progress in AI models with strong reasoning abilities, leading to the development of Compound AI Systems that combine multiple components for enhanced performance. At the Data and AI Summit, Databricks announced several new features for their Mosaic AI platform to aid in building production-quality AI systems. These include support for fine-tuning foundation models, an enterprise catalog for AI tools, a new SDK for AI Agents, and a unified AI gateway for governing AI services. Mosaic AI enables the creation of specialized AI systems by fine-tuning models, employing vector search, and utilizing a robust agent framework. The platform also introduced new evaluation tools for AI systems and governance features to manage and secure AI models effectively. With these updates, Databricks aims to help companies build and deploy AI systems more efficiently, moving from general intelligence to data intelligence. https://lnkd.in/gcii6N_r #DataBricks #MosaicAI #AI #ArtificialIntelligence #DataAISummit

DVC.ai Iterative’s New DataChain Enables Use of AI Models to Evaluate the Quality of Unstructured Data https://lnkd.in/dSDJJWr2 #AITech365 #analytics #DataChain #GenAI #Iterative #MLOps #news #unstructureddata

As Generative AI (GenAI) moves from hype to practical implementation in business settings, the role of DataOps becomes increasingly critical. Kevin Petrie’s latest blog, "DataOps for Generative AI Data Pipelines, Part II: Must-Have Characteristics," explores the crucial attributes that make data pipelines effective for #GenAI applications. Learn how #DataOps ensures your data pipelines are not just functional but optimal, covering everything from modularity and scalability to robustness, flexibility, and governance. Interested in augmenting your #datamanagement strategy to support advanced GenAI applications effectively? Click here to read the full insights and see how companies like Matillion are leading the way: https://lnkd.in/e38UxK9c

Mosaic AI: Revolutionizing AI Deployment At the ongoing Data and AI Summit, Databricks unveiled exciting updates to its Mosaic AI platform, set to revolutionize the way we build and deploy AI systems. Key Enhancements Fine-Tuning Foundation Models: Mosaic AI now supports fine-tuning on proprietary data, making models more domain-specific and cost-effective. Enterprise AI Tool Catalog: A registry for AI tools, allowing organizations to share and reuse functions, model endpoints, and resources. AI Agent SDK: A new software development kit for building, deploying, and evaluating AI agents, simplifying the development of complex AI systems. Unified AI Gateway: A centralized interface for managing AI services securely and efficiently. These advancements highlight the shift towards compound AI systems, offering increased accuracy and efficiency. With features like Mosaic AI Model Training, Vector Search, and the Agent Framework for developing Retrieval-Augmented Generation (RAG) applications, Databricks ensures that organizations can fully own their models and data, enhancing retrieval performance and creating robust AI systems. #ArtificialIntelligence #MosaicAI #Databricks #MachineLearning #DataAISummit #RAG Read more: https://lnkd.in/g5ftNS8F