Train an AI to Play Pong from Pixels

Train an AI to play Pong from raw pixels with DQN: preprocessing, frame stacking, a CNN architecture, experience replay, epsilon scheduling, and tuning.

Train an AI to Play Flappy Bird with Reinforcement Learning

Train an AI to play Flappy Bird with DQN: environment setup, state representation, reward shaping, epsilon-greedy exploration, tuning, and evaluation.

Deep Q-Networks vs PPO: Which Algorithm for Which Game?

DQN or PPO for your game? A practical comparison of action spaces, sample efficiency, and stability, with clear rules for arcade, racing, and physics games.

Soft Actor-Critic (SAC) Tutorial for Continuous Control

Soft Actor-Critic (SAC) tutorial for continuous control: the maximum-entropy objective, twin critics, entropy tuning, hyperparameters, and SAC vs TD3 vs PPO.

PPO Explained: Train Robust Game AI with Proximal Policy Optimization

PPO explained for game AI: how proximal policy optimization clipping works, how PPO compares to DQN and SAC, plus hyperparameters, rewards, and training tools.

Best Embedding Model APIs Compared (Pricing & Performance)

Compare the best embedding model APIs in 2026 by price and performance: OpenAI, Voyage, Cohere, Google Gemini, and open-weight options with real costs.

Best Managed RAG-as-a-Service Platforms

Compare the best managed RAG-as-a-service platforms in 2026: Pinecone, Weaviate, Qdrant, Zilliz, Bedrock Knowledge Bases, Vertex AI, and Azure AI Search.

Scaling RAG to Millions of Documents: Architecture Patterns

Six architecture patterns for scaling RAG to millions of documents: hybrid retrieval, chunking, reranking, index sharding, incremental ingestion, and caching.

Vector Database Indexing Explained: HNSW vs IVF vs Flat

HNSW vs IVF vs Flat vector indexing explained: recall, speed, and memory tradeoffs, FAISS code, and how to tune nprobe, ef, and M for production search.

Caching Strategies for RAG: Reduce Latency and API Costs

Four RAG caching layers explained: embedding cache, retrieval cache, semantic response cache, and prompt caching, with threshold tuning and hit-rate monitoring.