Asif Razzaq is an AI Journalist and Cofounder of Marktechpost, LLC. He is a visionary, entrepreneur and engineer who aspires to use the power of Artificial Intelligence for good. Asif’s latest venture ...

Despite the remarkable progress in large language models (LLMs), critical challenges remain. Many models exhibit limitations in nuanced reasoning, multilingual proficiency, and computational ...

Devin AI recently introduced DeepWiki, a free tool that automatically generates structured, wiki-style documentation for any GitHub repository. Built using their in-house DeepResearch agent, DeepWiki ...

The pretraining efficiency and generalization of large language models (LLMs) are significantly influenced by the quality and diversity of the underlying training corpus. Traditional data curation ...

A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It can store things like user preferences, past conversations, and ...

Arcade transforms your LangGraph agents from static conversational interfaces into dynamic, action-driven assistants by providing a rich suite of ready-made tools, including web scraping and search, ...

Google Cloud has just released an extraordinary compendium of 601 real-world generative AI (GenAI) use cases from some of the world’s top organizations — a major leap from the 101 use cases it shared ...

Language models have shown great capabilities across various tasks. However, complex reasoning remains challenging as it often requires additional computational resources and specialized techniques.

Designing and evaluating web interfaces is one of the most critical tasks in today’s digital-first world. Every change in layout, element positioning, or navigation logic can influence how users ...

Autoregressive (AR) models have made significant advances in language generation and are increasingly explored for image synthesis. However, scaling AR models to high-resolution images remains a ...

Large language models (LLMs) have gained significant traction in reasoning tasks, including mathematics, logic, planning, and coding. However, a critical challenge emerges when applying these models ...

Recent advancements in multimodal AI have highlighted a persistent challenge: achieving strong specialized reasoning capabilities while preserving generalization across diverse tasks. “Slow-thinking” ...