As agentic AI systems evolve, the complexity of ensuring their reliability, security, and safety grows correspondingly. Recognizing this, Microsoft’s AI…
Machine Learning
LLM-based multi-agent systems characterized by planning, reasoning, tool use, and memory capabilities form the foundation of applications like chatbots, code…
Language models have shown great capabilities across various tasks. However, complex reasoning remains challenging as it often requires additional computational…
The pretraining efficiency and generalization of large language models (LLMs) are significantly influenced by the quality and diversity of the…
A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It…
Human behavior research strives to comprehend how individuals and groups act in social contexts, forming a foundational social science element.…
Arcade transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made…
Recent progress in large reasoning language models (LRLMs), such as DeepSeek-R1 and GPT-O1, has greatly improved complex problem-solving abilities by…
Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the…
Large language models (LLMs) have gained significant traction in reasoning tasks, including mathematics, logic, planning, and coding. However, a critical…
Designing and evaluating web interfaces is one of the most critical tasks in today’s digital-first world. Every change in layout,…
Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR…
Transformers have revolutionized sequence modeling by introducing an architecture that handles long-range dependencies efficiently without relying on recurrence. Their ability…
In this tutorial, we explore five levels of Agentic Architectures, from the simplest language model calls to a fully autonomous…
At technology conferences worldwide and on social media, generative AI applications demonstrate impressive capabilities: composing marketing emails, creating data visualizations,…
Recent advancements in multimodal AI have highlighted a persistent challenge: achieving strong specialized reasoning capabilities while preserving generalization across diverse…
Mathematical reasoning has long presented a formidable challenge for AI, demanding not only an understanding of abstract concepts but also…
Integrating long-context capabilities with visual understanding significantly enhances the potential of VLMs, particularly in domains such as robotics, autonomous driving,…
Ratings and reviews are an invaluable resource for users exploring an app on the App Store, providing insights into how…
Customers today expect to find products quickly and efficiently through intuitive search functionality. A seamless search journey not only enhances…