8. Synthetic Dataset Generation for RAG Evaluation with Multi-Agent Systems The paper proposes a modular, three-agent pipeline that auto-generates synthetic QA datasets for evaluating RAG systems while enforcing privacy.
DATA
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Parallel Graph-Retrieval-Augmented Reasoning for Medical Knowledge
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5. Parallel Graph-Retrieval-Augmented Reasoning A test-time reasoning framework that replaces a single linear chain with multiple parallel, entity-grounded chains over medical knowledge graphs.
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DataAIWorldTour launches with AI agents and Lakebase insights
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#DataAIWorldTour is almost underway! Join data leaders, practitioners, and innovators to explore the latest in AI agents, Agent Bricks, Lakebase, and more — plus insights you can put into action today First up: São Paulo – September 3 Dallas – September 4
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Microsoft Power BI Cookbook: Convert Raw Data into Business Insights
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Microsoft #PowerBI Cookbook — Convert raw data into business insights with updated techniques, use cases, & best practices: https://
amzn.to/4dkugPP v/ @PacktDataML (3rd ed)
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#DataAnalyst #DataScientist #DataScience #Analytics #DataAnalytics #MachineLearning #BI #CDO -
Apache Spark Real-Time Mode Enables Millisecond Event Processing
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For years, Apache Spark™ Structured Streaming has powered mission-critical pipelines. Now, with real-time mode, it extends to workloads that process events in milliseconds — like fraud detection, live personalization, and real-time ML feature serving.
— Databricks (@databricks) 30 août 2025
Explore real-time mode in… pic.twitter.com/vQrltz5MU7For years, Apache Spark™ Structured Streaming has powered mission-critical pipelines. Now, with real-time mode, it extends to workloads that process events in milliseconds — like fraud detection, live personalization, and real-time ML feature serving. Explore real-time mode in
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OpenRouter Data Proves Grok Code’s Power and Kilo Code’s Dominance
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This OpenRouter data is a testament to Grok Code's power! And Kilo Code's dominant usage shows the vibrant ecosystem forming. @elonmusk , this is truly exciting for tech!
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Machine Learning Resources for Tabular Data and Neural Networks
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Give Tabular Data some luv Book — #MachineLearning for Tabular Data: XGBoost, Deep Learning, and #AI — at https://
amzn.to/41J8WA6 Neural Networks for Tabular Data: https://
nature.com/articles/s4158
6-024-08328-6
… GitHub Code: https://
github.com/PriorLabs/TabP
FN
… #AI #DataScience #DataScientist #DeepLearning -
Data Engineering Best Practices for Cloud Architecture and Cost Optimization
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#DataEngineering Best Practices — Architect robust and cost-effective data solutions in the cloud era: http://
amzn.to/3BkZ6df v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Architect and engineer optimized data solutions in the cloud with best practices for performance and -
New Book: Building AI Agents with LLMs, RAG, Knowledge Graphs
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New book from @PacktDataML >> "Building AI Agents with LLMs, RAG, and Knowledge Graphs — A practical guide to autonomous and modern AI agents" See it at http://
amzn.to/4622k2h -
Building Neo4j-Powered Applications with LLMs New Book Release
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New book from @PacktDataML >> "Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI" Available at http://
amzn.to/4l9lLKO