Applied AI · sharpbyte.dev
Build with Large Language Models.
Six tracks. Practical guides. From API call to production system.
- 6 tracks
- 36 guides
- Production-first
-
LLMs for Application Builders
Models, tokens, context, APIs, cost.
Start →LLMs Explained APIs & Tokens Embeddings Multimodal Model Selection
Guide 1 of 5 · foundation
-
RAG & Knowledge Systems
Retrieval pipelines, chunking, vector search.
Start →RAG Explained Chunking Strategies Vector Databases Retrieval & Reranking Advanced RAG Ingestion Pipeline
Guide 1 of 6 · foundation
-
Prompt & Context Engineering
Reliable prompts, reasoning patterns, output control.
Start →Prompts Explained Core Techniques System Prompts Output Formatting Context Management Production Prompting
Guide 1 of 6 · foundation
-
AI Agents & Orchestration
Tool calling, memory, multi-agent systems, MCP.
Start →Agents Explained Tool Calling Memory Systems Multi-Agent MCP Protocol Agentic RAG
Guide 1 of 6 · foundation
-
Evaluation, Safety & Quality
LLM-as-judge, guardrails, monitoring, CI evals.
Start →Evaluation Explained LLM-as-Judge RAG Evaluation Safety & Guardrails Observability CI/CD Evals
Guide 1 of 6 · foundation
-
Shipping & Adaptation
Production architecture, gateway, fine-tuning, scale.
Start →Hello Ship LLM Gateway Fine-tuning Multimodal Ingest Structured Extraction Production Architecture
Guide 1 of 6 · foundation