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Understanding REST API: A comprehensive guide

Data Science Dojo

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.

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Llama 3 + Llama.cpp is the local AI Heaven

Towards AI

So I decided to narrow down the use case to generate cloud system architecture from a user description. I already knew about the diagrams library in Python and was quite sure I could hack some code in a couple of hours and quickly publish my weekly LLM blog.

AI 107
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Unbundling the Graph in GraphRAG

O'Reilly Media

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. See the Hearsay-II project , BB1 , and lots of papers by Barbara Hayes-Roth and colleagues. Does GraphRAG improve results?

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Essential skills for blockchain development in 2025

Dataconomy

They must grasp how decentralized applications integrate into this ecosystem while ensuring they craft algorithms that prioritize security and efficacy alongside maintaining node operationsall tailored towards accommodating specific scale parameters and performance goals within a given systems architecture.

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🚀 Beyond Text: Building Multimodal RAG Systems with Cohere and Gemini

Towards AI

system architectures) Spatial relationships in maps or layouts A purely text-based approach fails to capture this crucial layer of information. Flash Try Gemini on Google AI Studio 💻 System Requirements: Python 3.8+ portfolio allocations) Trend visualizations in line graphs (e.g., resize((512, 512)).tobytes().hex()

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How Fivetran and Snowflake Optimize Supply Chain Operations

phData

explore Increase Speed of Insights With Faster Data Movement Supply chain organizations often struggle with making effective use of their data due to poor system architecture, which results in significant data lag; this lag creates bottlenecks for decision making.

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Fine-tuning LLMs on Slack Messages

ODSC - Open Data Science

You should be comfortable with Python to get the most out of this guide. Whether it’s using cryptography to secure software systems or designing distributed system architecture, he is always excited to learn and tackle new challenges. Fine-tuning LLMs is super easy, thanks to HuggingFace’s libraries.