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View All →LLM Agent Cookbook
Build AI agents from scratch — ReAct, Tool Use, Multi-Agent orchestration
ML Cookbook
Master machine learning algorithms with hands-on Jupyter projects
Data Analysis Cookbook
SQL, Pandas, Statistics — everything for data-driven decisions
Ontology & KG Cookbook
RDF, OWL, Neo4j, and GraphRAG for knowledge-powered AI
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AI-powered mock interviews — practice with real questions and get instant feedback
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Vibe-check your project — get AI feedback on your side project ideas
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Find what to build next — discover gaps in existing products and market opportunities
SpecRadar Career
Hottest tech skills from job posts — newsletter and CV analysis for your career
Starter Kits
View All →Practice notebooks, interview questions, and project solutions — ready to download.
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TurboQuant in Practice — KV Cache Compression with llama.cpp and HuggingFace
Build llama.cpp with turbo3, HuggingFace integration, memory calculator, config guide. 536K context on 70B models.
TurboQuant Explained — Google's Extreme KV Cache Compression Algorithm
Compress KV cache to 3-bit with PolarQuant + Lloyd-Max. 4.6x memory savings with zero accuracy loss, no retraining.
PremiumAgentScope Production Deployment — Runtime, Monitoring, Scaling
Docker deployment with agentscope-runtime, OpenTelemetry tracing, AgentScope Studio, RL fine-tuning, production checklist.
PremiumAgentScope Realtime Voice Agents — Build 3 Voice AI Apps
Build 3 real voice AI apps — chatbot, simultaneous interpreter, and customer service bot with RealtimeAgent + Gradio.
PremiumAgentScope RAG + Memory Architecture — Building Knowledge-Based Agents
Build knowledge-based agents with KnowledgeBase, vector stores (Qdrant/Milvus), and ReMe long-term memory.
PremiumAgentScope MCP Server Integration — External Tool Integration in Practice
Connect external tools via MCP (Stdio/HTTP), cross-framework communication with A2A, and building custom MCP servers.