Medium·1yBuilding a TikTok-like recommender
A comprehensive guide on building a TikTok-like real-time personalized recommender system, detailing the architecture, including the 4-stage recommender model, and the two-tower neural network design. It uses an H&M retail dataset for practical application, teaches feature engineering, model training, and serving using the Hopsworks AI Lakehouse. The post is part of an open-source course focused on deploying scalable recommenders.
SwirlAI·1yBuilding Deep Research Agent from scratch
The post guides readers through building a Deep Research Agent using the DeepSeek R1 model. It explains the concept of Deep Research Agents, outlines their components and steps involved, and provides a thorough implementation guide using SambaNova's platform. The setup includes planning the research, splitting tasks, performing in-depth web searches, reflecting on gathered data, and summarizing results into a final research report. The necessary code and prompts are shared for an interactive learning experience.
Medium·1yAI Engineer Interview Questions and Answers
The post provides a comprehensive guide on common AI engineer interview questions and their corresponding answers. Topics covered include linear regression assumptions, handling imbalanced data, backpropagation in neural networks, Transformer architecture, bias-variance tradeoff, model deployment, and various machine learning and deep learning concepts. It also addresses deployment and monitoring of models, preventing overfitting, challenges in real-world dataset management, and differences between various algorithms and techniques.