Ever wondered how to bootstrap generative AI using automated data integration? Look no further – an introduction to the architecture of retrieval-augmented generation (RAG) and how to combine it with Fivetran. Discover more: https://5tran.co/49yiqzm #RAG #generativeai #genai
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Data observability has become a must-have for every industry. Now, as generative AI (and the data powering it) takes center stage, it’s critical to bring data observability to where your data lives to build reliable GenAI systems. We sat down with the Snowflake team to discuss the evolving and increasingly pertinent role of data visibility for GenAI. Check it out: https://lnkd.in/d9zRahmn #genAI #dataobservability #dataquality
The Role Of Data Observability In Building Reliable GenAI Systems
montecarlodata.com
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The 2024 MAD landscape features 2,011 logos in total. The first wave was the 10-ish year-long data infrastructure cycle, which started with Big Data and ended with the Modern Data Stack. The second wave is the ML/AI cycle, which started earnestly with Generative AI. MAD space is as an assembly line – a full lifecycle of data from collection to storage to processing to delivering value through analytics or applications. Read further, Link in the comment.
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Just back from the Big Data conference, and I'm buzzing with ideas for #EPSOG! 🚀 One key takeaway? The potential of AI to revolutionize how we work with proprietary knowledge. Alongside ML expert Tomas Zimnickas, we explored the transformative power of technologies like vector databases and RAG architectures. These tools aren't just about data; they're about - redefining the boundaries of knowledge experiences. Equally exciting was learning about Data Mesh principles, hinting at a future where data management is more interconnected and dynamic. The conference itself? It had the flair of a grand cinema experience, a bit surreal. #BigData2023 #AI #Innovation #EPSOG #KnowledgeTransformation #vectordatabases Seems Dalle-3 still can't get the words right :D
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How should developers think about the emerging AI stack? At Data Council '24, I interviewed three AI pioneers: → Ce Zhang, CTO of Together AI → Ram Sriharsha, CTO of Pinecone → Soheil Koushan, Member of Technical Staff at Anthropic Highlights: − AIOps vs MLOps: Similarities and differences, design patterns, opportunities − Evaluating Non-Deterministic LLMs: Challenges and strategies for assessment − Retrieval Augmented Generation (RAG): Vector databases, RAG strategies, context window expansion, fine-tuning vs RAG − Deployment Scenarios: Open-source vs proprietary models, mixed-model workflows − Leveraging Tabular Data: How to think about working with LLMs and your tabular data Full conversation linked in comments.
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CTO || CDO || Catalyzing Transformation through Domain, Data, Digital & AI || Gen AI Lead Practitioner || Digital Engg, Data & AI Leadership in Shaping Future-Ready Enterprises || Advisor to CXO || Pursuing PhD Gen AI
GraphRAG, which enables knowledge graph to connect the dots across an entire dataset, outperforming standard Retrieval-Augmented Generation (RAG) by large margins… Is anyone leveraging it, hows the experince over RAG??? GraphRAG, which is superior to RAG for powering AI answer engines and chatbots, is now available on GitHub for free. RAG in current format have one big limitation handling index on new arrived data, it either missed in serach index or lose on the context & sementic for retreiver function. I was reading Pinecore, came up new architecture to handles this problem. #genai #llm #AI #RAG #Data #Machinelearning #vectordb #analytics
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🚨 Live Webinar Tomorrow 🚨 Join Zilliz Partner & VP of Engineering James Luan , and PingCAP Co-founder & CTO Ed Huang as they discuss the latest in distributed databases and vector search engines. Whether you're building customer solutions or deploying large-scale models, understanding your data infrastructure is essential. Don't miss this opportunity to enhance your AI projects! 🔗 Register now: https://lnkd.in/gnZswXSW #AI #Database #DistributedSQL #VectorSearch Scale at ease, Lower cost & Future proof
Maximize Data Efficiency for AI Apps: Beyond Vector Databases
social.pingcap.com
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Join our panel discussion broadcast, DETERMINING AI's IMPACT ON DATA CENTRE PPOWER, on March 26 13.00 - 14.00 GMT where expert speakers delve into the new critical considerations you need to make for powering the most complex AI models that have unprecedented demands. This broadcast will explore frequent power and cooling pain points in the AI era and how to effectively address them. The panel will also discuss topics such as changing power design and architecture for AI, the impact of real-time insights on power quality and usage at the device and cabinet level, and the types of cooling and cabinet solutions tailored to handle increased power densities. Register now: https://loom.ly/r-OpK0w
Determining AI’s impact on data center power
datacenterdynamics.com
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It's important to streamline data for AI integration and bolster core data stack functionalities, which are essential to propel AI use cases from concept to production effectively. It’s about ensuring our data infrastructure is robust and AI-compatible to harness the full potential of AI applications. #AIIntegration #DataReadiness #FutureOfData #AIUseCases #DataStrategy #MachineLearning #BigData #Innovation
"We have set up an entire AI lab, yet we haven't managed to get even a single use-case into production." - a recent conversation with a F100 In the last three months, every Chief Data Officer (CDO) I've spoken with has underscored two significant priorities: 1. Getting data to be "AI-ready" so they can get AI use-cases to production 2. Investing in foundational data stack capabilities for a future where LLMs are data consumers What's your take?
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Packed house for Surekha Durvasula and Barr Moses’ fireside chat at Databricks Data + AI Summit! Stop by Booth #125 to learn more about operationalizing data reliability for GenAI. 🚀 #dataobservability #dataAIsummit
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Fact: 50% of the fastest growing products represent the data integration category! Find out how you can fuel your company’s innovation in advanced analytics and AI with data-driven solutions in this webinar powered by Databricks, Fivetran, and Capgemini ⬇️
Webinar | Data Integration for the AI era: Unleashing the potential of data with Fivetran, Databricks, and Capgemini
go.fivetran.com
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