AI Engineer's Guide to Advertising and Recommendation Systems
CTR prediction, real-time bidding, RecSys architectures, and the ML behind ads
- #ai-development
- #recommendation-system
- #advertising
#ai-development
12 posts tagged with "ai-development"
What this collection covers
This collection brings Restato posts about "ai-development" together in one place. Compare the problems, implementation choices, verification results, and lessons in each article, then continue to related practical guidance.
AI Engineer's Guide to Data Engineering
Feature stores, data pipelines, streaming, and batch processing for AI systems
- #ai-development
- #data-engineering
- #feature-store
AI Engineer's Guide to Evaluation, Safety, and Alignment
Benchmarks, red teaming, guardrails, and responsible AI practices for production systems
- #ai-development
- #evaluation
- #safety
AI Engineer's Guide to Foundational ML Concepts
Essential machine learning theory, neural network architectures, and training fundamentals every AI engineer must know
- #ai-development
- #machine-learning
- #deep-learning
AI Engineer's Guide to Graph Databases and Ontology
Knowledge graphs, Neo4j, RDF, and ontology engineering for AI applications
- #ai-development
- #graph-database
- #knowledge-graph
AI Engineer's Guide to LLM Application Architecture
Patterns for building production LLM applications: prompts, chains, agents, and evaluation
- #ai-development
- #llm
- #architecture
AI Engineer's Guide to MLOps and AI Infrastructure
Training pipelines, model serving, monitoring, and the infrastructure behind production AI
- #ai-development
- #mlops
- #infrastructure
AI Engineer's Guide to Search and Information Retrieval
From BM25 to RAG: understanding search systems that power modern AI applications
- #ai-development
- #search
- #rag
AI Engineer's Guide to Vector Databases
Deep dive into vector databases, embeddings, and similarity search for production AI systems
- #ai-development
- #vector-database
- #embeddings
Claude Code Deep Dive: Philosophy, Architecture, and Practical Guide for Teams
A comprehensive analysis of Anthropic's Claude Code — the values behind it, how it works, why it matters, and how teams and organizations can adopt, deploy, and manage it effectively.
- #ai-development
- #developer-productivity
- #claude-code
AutoResearch by Andrej Karpathy: A Practical, Beginner-Friendly Deep Dive
A detailed guide to understanding, running, and extending karpathy/autoresearch with architecture diagrams, code walkthroughs, references, and implementation tips.
- #ai-development
- #research-automation
- #llm-agents
Open LLM GPU Fundamentals Every AI/ML Engineer Should Understand
A practical deep-dive into GPU architecture, memory behavior, inference scheduling, and optimization techniques for serving Open LLMs effectively.
- #openllm
- #gpu
- #ai-development
12 posts tagged with "ai-development"