38 Articles by Dr. Sarah Kim
Hybrid Search RAG: Unifying Symbolic and Connectionist AI
Combine symbolic and connectionist AI with Hybrid Search RAG for more efficient and effective search capabilities, including vector search and knowledge graph querying
Monitoring AI API Performance with Prometheus and Grafana
Monitor AI API performance using Prometheus and Grafana for efficient DevOps
Using Protocol Buffers for AI API Communication
Learn how to use Protocol Buffers for efficient AI API communication and data serialization in production-grade AI engineering
API Documentation Best Practices with Swagger and OpenAPI
Learn API documentation best practices with Swagger and OpenAPI for AI tooling
Using GraphQL for AI APIs: Apollo Server Tutorial
Learn to build production-grade AI APIs with GraphQL and Apollo Server, including schema design and query optimization
Advanced AI Agent Development with Meta-Learning
Discover how to develop advanced AI agents with meta-learning and few-shot learning, and improve their performance and adaptability
Developing AI Agents with Scikit-Learn: A Practical Guide
Use Scikit-Learn for AI agent development and learn how to create robust agents with this intermediate guide, covering key concepts and implementation details.
Machine Learning Simplified: Understanding the Basics
Discover the fundamentals of machine learning and its applications in AI tooling, including key concepts and implementation techniques
Building MCP Server from Scratch for AI Tooling
Learn to implement an MCP server for AI tooling, enabling efficient communication between agents and tools.
LoRA Fine-Tuning for LLMs: Unlock Efficient Adaptation
Discover how LoRA fine-tuning enhances LLMs with efficient adaptation, improving performance without extensive retraining.
Model-Based Reinforcement Learning for AI Agents with RAG
Master model-based reinforcement learning for AI agents using RAG, enhancing decision-making and task execution.
Reasoning and Acting with ReAct Agent Pattern and LLMs
Learn ReAct Agent Pattern for LLMs and RAG, enabling reasoning and acting in AI systems, with a focus on production-grade implementation
LangGraph-Based Agentic RAG for Autonomous Agents
LangGraph-Based Agentic RAG enables autonomous agents to reason and act effectively, learn how to implement it
Serving LLM Predictions with RESTful API using Flask and Docker
Serve Large Language Model predictions via RESTful API using Flask and Docker, streamlining model deployment and integration.
Streaming AI Data with Apache Flink and Cassandra
Learn how to stream AI-generated data with Apache Flink and Apache Cassandra for scalable and efficient data processing
Building Explainable AI with SHAP and LIME for Model Interpretability
Learn to build explainable AI systems with SHAP and LIME for model interpretability, improving transparency and trust in AI models.
Serverless AI with AWS Lambda and TensorFlow
Learn to create a serverless AI function using AWS Lambda and TensorFlow, and deploy AI models efficiently
Automating LLM Testing with Pytest and Hypothesis
Automate LLM testing and validation with Pytest and Hypothesis for robust AI models
Building a Containerized AI Dev Environment with Docker and Jupyter
Create a robust AI development environment with Docker and Jupyter Notebook, streamlining your workflow and ensuring reproducibility
Monitoring AI Model Performance with Prometheus and Grafana
Monitor AI model performance using Prometheus and Grafana, key to scalable AI systems
Developing AI Content Generation with LLMs and SpaCy
Learn to develop AI-driven content generation systems using language models and spaCy, optimizing for production-grade environments.
Automating Hyperparameter Tuning for LLMs with Azure ML
Automate hyperparameter tuning for large language models using Azure Machine Learning, improving model performance and efficiency
Optimizing AI Model Serving with TensorFlow Serving and gRPC
Optimize AI model serving with TensorFlow Serving and gRPC for efficient deployment and management of machine learning models.
Integrating AI Recommendation Systems with Redis and Python
Learn to build AI-powered recommendation systems with Redis and Python, improving user experience and engagement.
Visualize AI Model Performance with TensorBoard and Matplotlib
Learn to visualize AI model performance using TensorBoard and Matplotlib for better understanding and improvement of your models
Orchestrating AI Workflows with Apache Airflow and Kubernetes
Orchestrate AI workflows with Apache Airflow and Kubernetes for scalable and reliable deployments, including AI model training and natural language processing
Secure LLM APIs with OAuth 2.0 and AWS API Gateway
Secure Large Language Model APIs using OAuth 2.0 and AWS API Gateway, ensuring authenticated access to your AI models
Natural Language Processing Pipeline with spaCy and scikit-learn
Develop a production-grade NLP pipeline using spaCy and scikit-learn for text classification and entity recognition
Deploying Large Language Models with AWS SageMaker and Docker
Learn to deploy large language models with AWS SageMaker and Docker for scalable AI solutions, improving model performance and reducing latency
Building Custom AI Agents with Python and Gym
Learn to create custom AI agents using Python and the Gym library, a key concept in AI engineering
Mastering Multi-Agent Orchestration with LangGraph
Learn multi-agent orchestration with LangGraph and tool calling for AI agent development, including key concepts and implementation details
Mastering JWT Authentication in Node.js
Learn JWT authentication in Node.js for secure APIs, including token generation and verification.
Mastering Git Branching Strategies for Teams in DevOps
Learn effective Git branching strategies for teams to streamline collaboration and improve code quality, a crucial aspect of DevOps and deployment.
Streaming AI Responses in Next.js with Vercel AI SDK
Stream AI responses in Next.js with Vercel AI SDK for scalable and efficient AI-powered applications
Fine-Tune Llama 3 with LoRA on Custom Data
Fine-tune Llama 3 with LoRA on custom datasets for improved performance, explore key concepts and implementations
PostgreSQL vs MySQL: Choosing the Right Database
Compare PostgreSQL and MySQL databases to determine which is best for your project, considering factors like scalability and performance.
Introduction to Tailwind CSS for Beginners Tutorial
Learn Tailwind CSS basics for styling web applications with a utility-first approach and boost your web development skills
Building a REST API with Node.js and Express
Learn to build a REST API with Node.js and Express, covering fundamentals, implementation, and optimization