AI-Tutorials/Implementations and Notebooks

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# AI-Tutorials/Implementations and Notebooks

### Index 

* [Agentic AI and Agents](https://github.com/Marktechpost/AI-Notebooks?tab=readme-ov-file#agentic-ai-and-agents)
* [ML & Data Science](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#machine-learning--data-science)
* [MCPs Guides](https://github.com/Marktechpost/AI-Notebooks?tab=readme-ov-file#mcps-guides)
* [LLMs and Other AI Section](https://github.com/Marktechpost/AI-Tutorial-Codes-Included?tab=readme-ov-file#llmsml-and-other-ai-section)
* [Voice AI](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#voice-ai)
* [RAG](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#rag)
* [Computer Vision](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#computer-vision)
* [Security](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#security)

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### Agentic AI and Agents

▶ How to Build a Production-Grade Agentic AI System with Hybrid Retrieval, Provenance-First Citations, Repair Loops, and Episodic Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/Ultra_Agentic_AI_Hybrid_Retrieval_Guardrails_Episodic_Memory_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/06/how-to-build-a-production-grade-agentic-ai-system-with-hybrid-retrieval-provenance-first-citations-repair-loops-and-episodic-memory/)

▶ How to Build Efficient Agentic Reasoning Systems by Dynamically Pruning Multiple Chain-of-Thought Paths Without Losing Accuracy [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/agentic_chain_of_thought_pruning_dynamic_reasoning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/02/04/how-to-build-efficient-agentic-reasoning-systems-by-dynamically-pruning-multiple-chain-of-thought-paths-without-losing-accuracy/)


▶ A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Reinforcement%20learning/offline_safety_critical_rl_conservative_q_learning_d3rlpy_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/03/a-coding-implementation-to-train-safety-critical-reinforcement-learning-agents-offline-using-conservative-q-learning-with-d3rlpy-and-fixed-historical-data/)

▶ How to Build Memory-Driven AI Agents with Short-Term, Long-Term, and Episodic Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/memory_engineering_short_term_long_term_episodic_agents_marktechpost.py) [Tutorial](https://www.marktechpost.com/2026/02/01/how-to-build-memory-driven-ai-agents-with-short-term-long-term-and-episodic-memory/)

▶ How to Design Self-Reflective Dual-Agent Governance Systems with Constitutional AI for Secure and Compliant Financial Operations [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/constitutional_dual_agent_financial_governance_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/28/how-to-design-self-reflective-dual-agent-governance-systems-with-constitutional-ai-for-secure-and-compliant-financial-operations/)

▶ How a Haystack-Powered Multi-Agent System Detects Incidents, Investigates Metrics and Logs, and Produces Production-Grade Incident Reviews End-to-End [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/multi_agent_incident_response_haystack_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/26/how-a-haystack-powered-multi-agent-system-detects-incidents-investigates-metrics-and-logs-and-produces-production-grade-incident-reviews-end-to-end/)

▶ How an AI Agent Chooses What to Do Under Tokens, Latency, and Tool-Call Budget Constraints? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/cost_aware_planning_agent_budget_constrained_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/23/how-an-ai-agent-chooses-what-to-do-under-tokens-latency-and-tool-call-budget-constraints/)

▶ A Coding Guide to Anemoi-Style Semi-Centralized Agentic Systems Using Peer-to-Peer Critic Loops in LangGraph [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/anemoi_semi_centralized_peer_critic_loop_langgraph_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2026/01/20/a-coding-guide-to-anemoi-style-semi-centralized-agentic-systems-using

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