Creating a Knowledge Graph Using an LLM In the realm of artificial intelligence, one of the most interesting applications is the creation of Knowledge Graphs from unstructured data. This article will explore how to construct a Knowledge Graph from a medical log using a Large Language Model (LLM) like GPT-4o-mini. Unlike traditional Natural Language Processing…

Introduction to GLM-4.5 and GLM-4.5-Air The artificial intelligence (AI) landscape is undergoing transformative changes, and one of the most notable developments in 2025 is Zhipu AI’s release of the GLM-4.5 series. Comprising two models, GLM-4.5 and GLM-4.5-Air, these systems aim to redefine open-source agentic AI by integrating hybrid reasoning capabilities. Designed to seamlessly connect reasoning,…

Overview of the U.S. AI Playbook The U.S. White House has taken a bold step in the realm of technology with the release of the AI Playbook, formally known as “America’s AI Action Plan.” This strategic document sets forth the federal government’s unwavering commitment to artificial intelligence, aiming to enhance AI development across numerous sectors…

Understanding the Target Audience The context-aware multi-agent AI system powered by Nomic embeddings and Gemini LLM has a diverse range of potential users. Primarily, it caters to: AI Researchers and Developers: These are individuals looking to push the boundaries of AI through innovative solutions. Business Professionals: This group is keen on leveraging AI for strategic…

Understanding VLM2Vec-V2 VLM2Vec-V2 is a cutting-edge framework designed to enhance the way we process and analyze multimodal data, which includes images, videos, and visual documents. It aims to address the limitations of existing models that often struggle with diverse types of visual data. By unifying these modalities, VLM2Vec-V2 opens up new possibilities for AI applications…

The Model Context Protocol (MCP) is reshaping how intelligent agents interact with backend services, applications, and data. For organizations looking to implement MCP, merely writing protocol-compliant code isn’t enough. A successful MCP project requires a structured approach that addresses architecture, security, user experience, and operational efficiency. Below, we delve into the key components that ensure…

Understanding the Target Audience for Llama Nemotron Super v1.5 The Llama Nemotron Super v1.5 from NVIDIA is designed for a specific group of individuals who are at the forefront of artificial intelligence development. This audience primarily includes AI developers, data scientists, and business leaders in tech-driven enterprises. These professionals are eager to enhance their AI…

Building a Multi-Node Graph-Based AI Agent Framework for Complex Task Automation In today’s fast-paced world, the automation of complex tasks is not just a luxury; it’s a necessity for organizations aiming to boost productivity and efficiency. The development of a Graph Agent framework, particularly one powered by the Google Gemini API, opens up new possibilities…

Understanding the context in which users interact with AI models is crucial for improving their performance and evaluation. Many users pose questions that lack sufficient detail, making it difficult for AI to provide accurate and relevant responses. For example, a vague question like “What book should I read next?” can lead to vastly different recommendations…

Understanding Medical Image Segmentation Medical image segmentation is a fundamental aspect of artificial intelligence in healthcare. It involves dividing a medical image into parts to facilitate disease detection, monitor progression, and craft personalized treatment plans. Fields such as dermatology, radiology, and cardiology depend heavily on precise segmentation, which means accurately assigning a class to each…