In today’s rapidly evolving AI landscape, many founders and observers find themselves preoccupied with the idea that successful startups must […]
Category: Staff
Safeguarding Agentic AI Systems: NVIDIA’s Open-Source Safety Recipe
As large language models (LLMs) evolve from simple text generators to agentic systems —able to plan, reason, and autonomously act—there […]
9 Open Source Cursor Alternatives You Should Use in 2025
The demand for AI-powered coding tools has exploded—with open-source alternatives now rivaling commercial solutions like Cursor in features, flexibility, and […]
Amazon Develops an AI Architecture that Cuts Inference Time 30% by Activating Only Relevant Neurons
Amazon researchers developed a new AI architecture that cuts inference time by 30% by selecting only task-relevant neurons, similar to […]
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, […]
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 […]
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 […]
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 […]
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 […]
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. […]
