AI Engineering • Daily Bytes of AI

Expert articles on building production AI systems, covering system design, architecture, observability, and real-world implementations.

AI Engineering

Structured Output: Making LLMs Application-Ready

Learn how to get reliable, structured outputs from LLMs using JSON mode and Pydantic tool calling. Transform LLMs from text generators into application-ready components with validated data contracts.

LLMPydanticTool Calling
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7 min
AI Engineering

RAG Evaluation: Proving Your System Actually Works

Learn how to evaluate RAG systems quantitatively using RAGAs framework. Measure context relevance, faithfulness, answer correctness, and prove optimizations work with A/B testing.

RAGEvaluation
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6 min
AI Engineering

Advanced RAG with Tools: Using LlamaIndex

Learn how to use LlamaIndex framework to build advanced RAG systems with tools, sub-question query engines, and ReAct agents. Build production-ready systems faster with pre-built components.

RAGAI AgentsLlamaIndex
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5 min
AI Engineering

Agentic RAG: Building a System That Thinks, Acts, and Corrects

Learn how to build agentic RAG systems with tools, graphs, and self-correction. Move beyond linear chains to dynamic agents that can route, grade, and correct their own work.

RAGAI AgentsSystem Design
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6 min
AI Engineering

Advanced RAG: Building Self-Correcting Systems

Learn how to build agentic RAG systems with routing, grading, and self-correction capabilities. Move beyond linear chains to dynamic graphs that can handle complex queries and recover from failures.

RAGAI AgentsSystem Design
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6 min
AI Engineering

Vector Databases and Embeddings: The Brain of RAG

Learn how embeddings and vector databases power RAG systems. Understand semantic search, cosine similarity, metadata filtering, and choose between open-source and proprietary embedding models.

RAGVector DatabasesEmbeddings
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7 min
AI Engineering

Splitting Techniques for RAG: The Art of the Right Chunk

Master document chunking for RAG systems. Learn fixed-size, recursive, semantic, and content-aware splitting techniques to improve retrieval quality and reduce hallucinations.

RAGVector DatabasesData Processing
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6 min
AI Engineering

Retrieval-Augmented Generation (RAG): Giving LLMs an Open Book

Learn how RAG solves LLM limitations by connecting models to external documents. Master chunking, embeddings, vector databases, and the retrieve-augment-generate pipeline for production AI systems.

RAGVector DatabasesEmbeddings
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7 min
AI Engineering

Prompt Engineering: How to Talk to an LLM

Master prompt engineering techniques for LLMs. Learn specificity, few-shot prompting, role assignment, chain-of-thought reasoning, self-critique, and structured output for production AI applications.

Prompt EngineeringLLM
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6 min
AI Engineering

LLM Basics: How Machines Think (and Don't)

Learn the fundamentals of Large Language Models (LLMs) for engineers. Understand prediction, tokens, context windows, temperature, cost structure, and common failure modes in LLM systems.

LLM
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7 min
AI Engineering

Architecting AI Agents: Multi-Step Reasoning and Execution Loops

Learn how to design production-ready AI agents with multi-step reasoning, execution loops, safety patterns, checkpointing, and observability. Build autonomous agents that are useful, safe, and predictable.

System DesignAI AgentsMulti-Agent Systems
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6 min
AI Engineering

Observability & Guardrails: Designing for Reliability, Cost, and Safety

Learn how to implement observability and guardrails in production AI systems. Covering logging, metrics, tracing, cost tracking, input/output validation, and safety constraints for reliable AI applications.

System DesignObservabilityGuardrails
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5 min
AI Engineering

Concurrency & Resilience: Designing Fault-Tolerant AI Systems

Learn how to design production AI systems that handle concurrency gracefully. Covering queue architectures, idempotency, retry strategies, graceful degradation, and fault tolerance patterns for scale.

System Design
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6 min
AI Engineering

Streaming at Scale: SSE, WebSockets & Designing Real-Time AI APIs

Master streaming architecture for production AI systems. Learn SSE vs WebSocket trade-offs, backpressure handling, reconnection strategies, and designing for perceived latency in real-time AI applications.

System DesignReal-Time Systems
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5 min
AI Engineering

AI Pipeline Design: Building Production AI Systems Beyond Notebooks

Master production AI system design with pipelines, streaming, latency optimization, and scalable architecture patterns. Learn to build AI systems that handle real-world load.

System DesignProduction AI
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5 min
AI Engineering Bootcamp

Master Production AI Systems in 6 Weeks

Learn to build, deploy, and scale production-ready AI applications with hands-on projects and expert guidance.

6 Weeks Intensive
Live Sessions
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