Towards AI
NOVEMBER 6, 2024
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. Upgrade to access all of Medium. Processing Videos for Multimodal RAG (Coming soon!)Multimodal
Hacker News
OCTOBER 14, 2024
Cell-based architecture has emerged as a response to many challenges associated with distributed systems. Cells can also help organize large architectures into domain-bound deployment and delivery units, which provides essential sociotechnical benefits.
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Data Science Dojo
MARCH 30, 2023
Layered System: REST API should be designed in a layered system architecture, where each layer has a specific role and responsibility. The layered system architecture helps to promote scalability, reliability, and flexibility. The uniform interface helps to simplify the API and promotes reusability.
Dataconomy
SEPTEMBER 11, 2023
Understanding system architecture A killswitch engineer at OpenAI would be responsible for more than just pulling a plug. The role necessitates a deep understanding of system architecture, including the layers of hardware and software that run AI models like upcoming GPT-5.
O'Reilly Media
NOVEMBER 19, 2024
For example, articles about former US vice president Al Gore might not discuss actor Tommy Lee Jones, although the two were roommates at Harvard and started a country band together. See the excellent talk “ Systems That Learn and Reason ” by Frank van Harmelen for more exploration about hybrid AI trends. What is GraphRAG?
Hacker News
OCTOBER 20, 2022
We often see how inattention to the law can twist system architectures. If an architecture is designed at odds with the development organization's structure, then tensions appear in the software structure. 1: The source for Conway's law is an article written by Melvin Conway in 1968.
Dataconomy
JANUARY 4, 2024
New system architectures : The Copilot key is a standalone feature and part of a broader initiative involving collaboration with silicon partners like AMD, Intel, and Qualcomm. Together, they introduce new system architectures that leverage GPU, CPU, NPU, and the cloud to unlock innovative AI experiences on Windows PCs.
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