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Analysis

This article from MarkTechPost introduces GraphBit as a tool for building production-ready agentic workflows. It highlights the use of graph-structured execution, tool calling, and optional LLM integration within a single system. The tutorial focuses on creating a customer support ticket domain using typed data structures and deterministic tools that can be executed offline. The article's value lies in its practical approach, demonstrating how to combine deterministic and LLM-driven components for robust and reliable agentic workflows. It caters to developers and engineers looking to implement agentic systems in real-world applications, emphasizing the importance of validated execution and controlled environments.
Reference

We start by initializing and inspecting the GraphBit runtime, then define a realistic customer-support ticket domain with typed data structures and deterministic, offline-executable tools.

Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 07:23

Tutorial on Large Language Model-Enhanced Reinforcement Learning for Wireless Networks

Published:Dec 3, 2025 12:13
1 min read
ArXiv

Analysis

This article announces a tutorial on a cutting-edge topic, combining Large Language Models (LLMs) with Reinforcement Learning (RL) for wireless networks. The combination suggests potential advancements in network optimization and management. The source, ArXiv, indicates it's a research paper or a pre-print, suggesting a focus on technical details and novel approaches.
Reference