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Building Multimodal RAG Application #3: Multimodal RAG System Architecture

Towards AI

Last Updated on November 6, 2024 by Editorial Team Author(s): Youssef Hosni Originally published on Towards AI. In the third article of the Building Multimodal RAG Application series, we explore the system architecture of building a multimodal retrieval-augmented generation (RAG) application. This member-only story is on us.

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Apple Workshop on Privacy-Preserving Machine Learning 2024

Machine Learning Research at Apple

We develop system architectures that enable learning at scale by leveraging advances in machine learning (ML), such as private federated learning (PFL), combined with… However, accessing the data that provides such insights — for example, what users type on their keyboards and the websites they visit — can compromise user privacy.

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Why Microsoft is outspending big tech on Nvidia AI chips

Dataconomy

This year, tech companies collectively spent tens of billions of dollars on data centers equipped with Nvidia chips, with forecasts suggesting an estimated $229 billion in spending on servers in 2024. Microsoft alone is expected to contribute $31 billion to this total. Featured image credit: Sam Torres/Unsplash

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Llama 3 + Llama.cpp is the local AI Heaven

Towards AI

Last Updated on May 14, 2024 by Editorial Team Author(s): Vatsal Saglani Originally published on Towards AI. So I decided to narrow down the use case to generate cloud system architecture from a user description. As soon as I started writing code I realized it was too ambitious to create something like DiagramGPT in some hours.

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Accelerate pre-training of Mistral’s Mathstral model with highly resilient clusters on Amazon SageMaker HyperPod

AWS Machine Learning Blog

3: 2024-07-19 03:31:38 I [train.py:155] 155] Creating Model 3: 2024-07-19 03:33:08 I [train.py:171] B) 3: 3: 2024-07-19 03:33:23 I [train.py:209] 209] Wrapped model with FSDP 3: 2024-07-19 03:33:23 I [train.py:226] 226] Created optimizer 3: 2024-07-19 03:33:23 I [checkpoint.py:70] 70] No Checkpoints Found.

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Using Fivetran’s New Hybrid Architecture to Replicate Data In Your Cloud Environment

phData

Fivetran is a data movement platform that offers multiple system architectures that extract data from source systems and centralize it in cloud data warehouses like Snowflake AI Data Cloud , Redshift, and others. If you’re interested in tapping into the potential of Fivetran’s Hybrid Deployment, phData can help!

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Top Big Data Interview Questions for 2025

Pickl AI

billion in 2024 and reach a staggering $924.39 Advanced-Level Interview Questions Advanced-level Big Data interview questions test your expertise in solving complex challenges, optimising workflows, and understanding distributed systems deeply. I also use version control systems like Git to ensure were aligned.