21 Articles by Marcus Lee
Deploying AI APIs on Kubernetes with Docker
Deploy AI APIs on Kubernetes with Docker for scalable production environments, including intermediate guide and best practices
Building Conversational AI with LLMs and RAG
Learn to build conversational AI systems using LLMs and RAG, with practical tips and production-ready code examples
Evaluating LLMs with Structured Output and Semantic Similarity
Evaluate LLMs with structured output and semantic similarity for production-grade AI engineering, learn how to avoid common pitfalls
Multi-Agent Task Decomposition with RAG and Tool Calling
Learn how to decompose tasks with RAG and tool calling for efficient AI workflows, boosting productivity
Building Self-Correcting RAG Pipelines with Automated Feedback
Learn to build self-correcting RAG pipelines with automated feedback for efficient similarity search and evaluation metrics.
Building AI-Powered Recommender Systems with Surprise and scikit-learn
Develop AI-powered recommender systems with Surprise and scikit-learn for personalized user experiences
Hybrid RAG System with LangGraph and ElasticSearch
Build a hybrid RAG system with LangGraph and ElasticSearch for production-grade AI search
Deploying AI Models to Edge Devices with TensorFlow Lite
Deploy AI models to edge devices with TensorFlow Lite and Raspberry Pi for efficient inference, including model optimization and Raspberry Pi setup
Optimizing AI Agent Policies with Reinforcement Learning
Reinforcement learning optimizes AI agent policies in complex environments, skip the theory and focus on production-grade solutions
Securing LLM APIs with OAuth and JWT
Secure your LLM APIs with OAuth and JWT authentication using FastAPI and MongoDB, a production-ready solution
Deploying Question Answering Models with Hugging Face Transformers
Learn to deploy a question answering model using Hugging Face Transformers and AWS SageMaker for production-ready AI
Explainable AI with SHAP and LIME Libraries
Implement explainable AI with SHAP and LIME libraries for transparent model predictions
Building Distributed AI Training Clusters
Distributed AI training with Slurm and NVIDIA GPUs for production-grade performance
Custom AI Dataset Creation with Active Learning
Learn how to create a custom AI dataset using active learning and weak supervision, essential for production-grade AI models
Monitoring AI Model Drift with Prometheus and Grafana
Monitor AI model drift with Prometheus and Grafana for production-grade reliability. Learn how to track changes in your AI model's performance over time.
Automating AI Data Preprocessing with Apache Beam
Automate AI data preprocessing with Apache Beam and Google Cloud Dataflow for efficient pipelines, including data ingestion and model training
Azure Machine Learning Hyperparameter Tuning
Automated hyperparameter tuning with Azure Machine Learning, boosting model performance
Reinforcement Learning with PyTorch: A Production Guide
Implement reinforcement learning with PyTorch for production-grade AI. Learn from a battle-tested engineer.
Cache Smarter: Using Redis in Node.js
Boost app performance with Redis caching in Node.js. Skip the theory, here's what works
Building Production RAG Pipelines with Supabase pgvector
Learn how to build a production-grade RAG pipeline using Supabase pgvector for efficient search and retrieval of data
JavaScript Promises and Async Await Explained
Learn JavaScript Promises and Async Await with production examples. Master async programming for efficient code