Global AI Hub Research Corpus
researched 2026-08-18· 24 sources · 24 concepts
Children
- Agent State Management & Durable Execution for LLM Agents
- Agentic & Advanced RAG Patterns (beyond naive RAG, 2024-2026)
- Agentic RL — Reinforcement Learning for LLM Agents
- AI Coding-Agent Design (2024–2026)
- AI-Native UX & Generative UI Design for LLM Applications
- AI Red-Teaming & Security-Testing Tooling for LLM Apps (2024-2026)
- Aider in Open-Source Agentic Coding with Ollama
- Context Engineering for LLM Apps & Agents
- Cross-Encoder Re-ranking vs Bi-Encoders for Terminal Validation in RAG and Deduplication
- Declarative & Programmatic LLM Frameworks ("Prompt-as-Program", 2024-2026)
- Ethereum Consensus (Proof of Stake): Protocol-User Technical Reference
- Eval-Driven Development for LLM Applications (2024-2026)
- Extraction Evaluation Frameworks
- Heuristic Boilerplate Removal & Text-Density Algorithms for Web Extraction
- LlamaParse vs. Docling for LLM Ingestion
- LLM Zero-Shot Data Extraction for Unstructured Text
- Hybrid Score Fusion (Reciprocal Rank Fusion - RRF)
- RLHF & RL Training Infrastructure for LLMs (2024–2026)
- Semantic vs Lexical Deduplication for Text Distillation
- Structured Output Constraints and LLM Hallucination Mitigation
- Text Canonicalization for Exact-Match Deduplication Prep
- The Psychology of Trust, Rapport & Psychological Safety
- Vision-Language Model (VLM) Layout Parsing and Document Zoning
- Voice & Real-Time Agent Design (2024–2026)