All Tutorials

Complete, runnable code. Real outputs. Clear explanations.

Cross-Attention Fusion: Combining Text Embeddings with Structured Features

Concatenation is the default. Here's why cross-attention works better for combining text embeddings with tabular data—and how to implement it in PyTorch.

#multimodal #cross-attention #tabular

Deep Dive 25 min read

DeepSeek V3.2: Frontier Reasoning at 6x Lower Cost

Technical deep dive into DeepSeek V3.2's architecture: DeepSeek Sparse Attention (DSA), integrated reasoning with tool-use, and how it achieves IMO gold-medal performance.

#deepseek #architecture #sparse-attention

Open Seas 20 min read

Data Models for AI Applications: Pydantic vs Python Built-ins

Compare Python's data modeling options for AI/ML applications. Learn when to use dataclasses, TypedDict, or Pydantic for API responses, embeddings metadata, and agent tool contracts.

#pydantic #python #api

Open Seas 15 min read

CFP Oracle: Semantic Search for College Football History

Build a semantic search system to find historically similar College Football Playoff games using Amazon S3 Vectors and Bedrock embeddings.

#s3-vectors #embeddings #semantic-search

Open Seas 25 min read

Getting Started with Amazon S3 Vectors

Build a semantic search system using AWS's new serverless vector storage. Store millions of embeddings in S3 with sub-second query times and serverless pricing.

#s3 #vectors #embeddings

Deep Dive 25 min read

Mamba for Predictive Maintenance: State Space Models vs Transformers

Compare Mamba's selective state space architecture against LSTM and Transformer for hard drive failure prediction. Learn when SSMs beat attention.

#mamba #state-space-models #predictive-maintenance

Open Seas 35 min read

Build a Community Christmas Tree with AI-Generated Ornaments

Create a shared Christmas tree where visitors add AI-generated ornaments using Amazon Nova Canvas, with defense-in-depth content moderation using Bedrock Guardrails and Claude.

#nova-canvas #image-generation #aws-lambda

Open Seas 25 min read

Build a Holiday Cocktail Agent with TheCocktailDB

Create an AI bartender that suggests cocktails based on weather, searches by ingredient, and generates party menus with shopping lists.

#agents #strands-sdk #cocktails

Open Seas 40 min read

Building a Fishing Report Agent with AWS Strands

Create an AI agent that combines tide, weather, and marine data to generate fishing reports. Learn tool-calling patterns with the Strands SDK, NOAA APIs, and Claude on AWS Bedrock.

#strands #ai-agents #aws

Open Seas 30 min read

Bi-Encoders: Fast Semantic Search at Scale

Learn how bi-encoders enable sub-millisecond semantic search over millions of documents. Build a complete search system with sentence-transformers, FAISS indexing, and production-ready Python code.

#sentence-transformers #semantic-search #faiss

Open Seas 25 min read

Cross-Encoders: Precision Reranking for Search

When bi-encoders aren't accurate enough, cross-encoders dramatically improve search relevance. Build a two-stage retrieval system with MS MARCO rerankers and sentence-transformers.

#cross-encoder #reranking #semantic-search

Deep Dive 45 min read

Visual Semantic Search with CLIP and AWS

Build a production image search system using OpenAI's CLIP model, Amazon OpenSearch Serverless for vector storage, and Claude on Bedrock for image descriptions. Complete Python implementation with real AWS outputs.

#clip #opensearch-serverless #bedrock

Calm Waters 25 min read

Sentence Embeddings from Scratch with PyTorch

Build a complete sentence encoder from the ground up. Learn tokenization, embedding layers, pooling strategies, and benchmark on semantic similarity.

#pytorch #nlp #embeddings

Open Seas 45 min read

Predicting Hard Drive Failures with XGBoost, LSTM, and Transformers

Build a production-ready failure prediction system using real Backblaze data. Compare traditional ML vs deep learning approaches and learn when each shines.

#xgboost #lstm #time-series

Deep Dive 25 min read

DeepSeek R1 Architecture: How Reinforcement Learning Creates Reasoning

Deep dive into DeepSeek R1's architecture: how pure RL training enables chain-of-thought reasoning, the GRPO algorithm, MoE design, and knowledge distillation.

#deepseek #architecture #reinforcement-learning

Open Seas 20 min read

Getting Started with DeepSeek R1: The Open-Source Reasoning Model

Run DeepSeek R1 on AWS Bedrock or locally with Ollama. Learn to use its chain-of-thought reasoning for complex problem-solving, coding, and math.

#deepseek #reasoning #bedrock