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AGI & Research

Constitutional AI: Building Safe and Aligned Language Models

As Large Language Models (LLMs) become increasingly integrated into critical applications, the demand for robust safety mechanisms has never been higher. Traditional Reinforcement Learning from Human Feedback (RLHF) requires extensive human annotation, which is expensive and subjective. Enter Con...

Knowledge Bases

Building Intelligent Systems with Neo4j Knowledge Graphs

In the rapidly evolving landscape of artificial intelligence, the limitation of traditional Large Language Models (LLMs) often lies in their reliance on static training data. They hallucinate, lack real-time context, and struggle with complex, interconnected reasoning. Enter Knowledge Graphs (KGs...

AI Security

Secure Tool Calling: Safeguarding AI Agents in Production

As Large Language Models (LLMs) evolve from simple chatbots into autonomous agents capable of executing complex tasks, the mechanism of tool calling (or function calling) has become the critical bridge between inference and action. However, this power introduces a significant attack surface. If a...