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.

System Architecture 545

System Architecture Python Database 545

O'Reilly Media

NOVEMBER 19, 2024

Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. One more embellishment is to use a graph neural network (GNN) trained on the documents. Chunk your documents from unstructured data sources, as usual in GraphRAG. at Facebook—both from 2020.

Database 130

Database AI AI Natural Language Processing 130

Dataconomy

MARCH 3, 2025

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.

Computer Science 91

Computer Science Computer Science Internet of Things Database 91

AWS Machine Learning Blog

MAY 14, 2025

These steps are encapsulated in a prologue script and are documented step-by-step under the Fine-tuning section. This approach minimizes the complexity of identifying optimal distributed training configurations and provides a simple way to properly size your workloads with the best price-performance architecture on AWS.

Clustering 81

Clustering AWS ML ML 81

Towards AI

MAY 5, 2025

Flash to build a RAG system that understands both text and images enabling accurate answers from charts, tables, and visuals inside PDFs. 📉The Problem: Traditional RAGs Visual Blindspot Traditional Retrieval-Augmented Generation (RAG) systems rely on text embeddings to retrieve information from documents.

System Architecture 56

System Architecture Python AI AI 56

Snorkel AI

MAY 3, 2023

A core part of this workflow involves quickly and accurately labeling datasets using Python functions instead of manual labeling by humans. These Python functions encode subject matter expertise in the form of anything from if/else statements to calls to foundation models. This complexity can take many forms.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Snorkel AI

MAY 3, 2023

A core part of this workflow involves quickly and accurately labeling datasets using Python functions instead of manual labeling by humans. These Python functions encode subject matter expertise in the form of anything from if/else statements to calls to foundation models. This complexity can take many forms.

Machine Learning 52

Machine Learning Machine Learning ML ML 52