MinIO’s Post

Sidharth Rajaram explores four technical reasons why #AI workloads rely on #privatecloud, high-performance #objectstorage: 1) no limits on unstructured data 2) rich #metadata for model and datasets 3) model and datasets are available, auditable and versionable 4) read on to check out the final reason… 👀 https://hubs.li/Q02DQ_xG0

The broadening of conventional data engineering pipelines and applications to include document extraction and preprocessing for unstructured PDFs, audio, and video files is becoming more prevalent. This shift is propelled by the increasing demand for advanced generative AI applications in businesses, adhering to the RAG (Retrievable Augmented Generation) model. Check out this insightful article from Charles Chukwudozie as he delves into how semantic chunking in Azure Al Document Intelligence works #LLM applications, https://lnkd.in/gmtQ_yrp

Leveraging unstructured data for Generative AI use cases has just gotten a lot easier thanks to Databricks acquisition of Lilac! #databricks #lilac #unstructureddata #genai

The latest release of AI Quick Actions, a part of #OCI Data Science, offers support for a bring your own model feature into AI Quick Actions through OCI Object Storage. ✨I'd love to hear your feedback on the use cases that you could envision using with this tool. ✨ Learn more: https://lnkd.in/e_6zEqJ3 #ai #datascience #machinelearning #artificialintelligence #oracle #cloudcomputing

We all heard about the term "Enterprise AI" and the revolution that's coming around using Gen AI to actually solve business problems. In my perspective, this is a practical usage of Decision Intelligence, and Snowflake is for sure one of the leaders creating this path for us. Months ago they announced Snowflake Cortex, a platform that allows you to work with LLM models and Machine Learning from inside your database, but at the beginning of this month they took it to an entire new level, bringing NVIDIA as a partner and announcing Search and Analyst assistants. If you want to know more, check my newest article around Cortex: https://lnkd.in/dVhRhY73

https://lnkd.in/g2ts7AHj #GenAI: Systems that seem capable of near magic but as the models become more complex, their hunger for #data grows   William McLane DataStax #CDOTrends #Vector #databases #AI #Applications #RAGArchitecture

Oracle is innovating! 😀 In a step forward for #AI development and deployment, #OCI Data Science now supports Meta’s Llama 3.2 models through AI Quick Actions and the Bring Your Own Container (#BYOC) feature: https://lnkd.in/giVxkdQZ

In a step forward for #AI development and deployment, #OCI Data Science now supports Meta’s Llama 3.2 models through AI Quick Actions and the Bring Your Own Container (#BYOC) feature: https://lnkd.in/eJvy-p5A

In a step forward for #AI development and deployment, #OCI Data Science now supports Meta’s Llama 3.2 models through AI Quick Actions and the Bring Your Own Container (#BYOC) feature: https://lnkd.in/dsaQpWX7

In a step forward for #AI development and deployment, #OCI Data Science now supports Meta’s Llama 3.2 models through AI Quick Actions and the Bring Your Own Container (#BYOC) feature: https://lnkd.in/d6787kQs