Creating a Knowledge Graph Using an LLM
In this tutorial, we’ll show how to create a Knowledge Graph from an unstructured document using an LLM. While traditional NLP methods have been used for extracting entities and relationships,…
Microsoft Edge Launches Copilot Mode to Redefine Web Browsing for the AI Era
Microsoft has taken a major leap into the future of web browsing with the launch of Copilot Mode in Edge, positioning it as the company’s first real step toward an…
Zhipu AI Just Released GLM-4.5 Series: Redefining Open-Source Agentic AI with Hybrid Reasoning
The landscape of AI foundation models is evolving rapidly, but few entries have been as significant in 2025 as the arrival of Z.ai’s GLM-4.5 series: GLM-4.5 and its lighter sibling…
The U.S. White House Releases AI Playbook: A Bold Strategy to Lead the Global AI Race
The White House just released the U.S. AI Playbook—formally titled “America’s AI Action Plan”—a sweeping, high-impact federal strategy that clarifies one thing: the United States is going all in on…
Building a Context-Aware Multi-Agent AI System Using Nomic Embeddings and Gemini LLM
In this tutorial, we walk through the complete implementation of an advanced AI agent system powered by Nomic Embeddings and Google’s Gemini. We design the architecture from the ground up,…
VLM2Vec-V2: A Unified Computer Vision Framework for Multimodal Embedding Learning Across Images, Videos, and Visual Documents
Embedding models act as bridges between different data modalities by encoding diverse multimodal information into a shared dense representation space. There have been advancements in embedding models in recent years,…
Key Factors That Drive Successful MCP Implementation and Adoption
The Model Context Protocol (MCP) is changing how intelligent agents interact with backend services, applications, and data. A successful MCP implementation project hinges on much more than…
NVIDIA AI Dev Team Releases Llama Nemotron Super v1.5: Setting New Standards in Reasoning and Agentic AI
The landscape of artificial intelligence continues to evolve rapidly, with breakthroughs that push the boundaries of what models can achieve in reasoning, efficiency, and application versatility. The latest release from…
GenSeg: Generative AI Transforms Medical Image Segmentation in Ultra Low-Data Regimes
Medical image segmentation is at the heart of modern healthcare AI, enabling crucial tasks such as disease detection, progression monitoring, and personalized treatment planning. In disciplines like dermatology, radiology, and…
Why Context Matters: Transforming AI Model Evaluation with Contextualized Queries
Language model users often ask questions without enough detail, making it hard to understand what they want. For example, a question like “What book should I read next?” depends heavily…









