The rise of artificial intelligence (AI) is poised to transform multiple aspects of human life, but it also raises complex questions about ethics, employment, and the future of society. As AI becomes more integrated into everyday life, it’s crucial to explore the implications of its development and application. Below are 10 thought-provoking questions about AI, … Read more
[ad_1] While large reasoning models (LRMs) have shown impressive capabilities in short-context reasoning through reinforcement learning (RL), these gains do not generalize well to long-context scenarios. Applications such as multi-document QA, research synthesis, and legal or financial analysis require models to process and reason over sequences exceeding 100K tokens. However, RL optimization in such regimes … Read more
[ad_1] Image by Author | Canva Docker containers simplify the development and deployment of applications, but they also introduce security challenges. This tutorial will walk you through five essential best practices to secure your Docker containers effectively. Prerequisites To follow along: You should have Docker installed. You should be comfortable with Docker commands … Read more
[ad_1] Manus AI agent is China’s latest artificial intelligence breakthrough that’s turning heads in Silicon Valley and beyond. Manus was launched last week via an invitation-only preview, and represents China’s most ambitious entry into the emerging AI agent market. Unlike anything seen to date, the Manus AI agent doesn’t just chat with users – it … Read more
[ad_1] OpenAI and Google are each urging the US government to take decisive action to secure the nation’s AI leadership. “As America’s world-leading AI sector approaches AGI, with a Chinese Communist Party (CCP) determined to overtake us by 2030, the Trump Administration’s new AI Action Plan can ensure that American-led AI built on democratic principles … Read more
[ad_1] Traditional language models rely on autoregressive approaches, which generate text sequentially, ensuring high-quality outputs at the expense of slow inference speeds. In contrast, diffusion models, initially developed for image and video generation, have gained attention in text generation due to their potential for parallelized generation and improved controllability. However, existing diffusion models struggle with … Read more
[ad_1] The rapid evolution of artificial intelligence (AI) has ushered in a new era of large language models (LLMs) capable of understanding and generating human-like text. However, the proprietary nature of many of these models poses challenges for accessibility, collaboration, and transparency within the research community. Additionally, the substantial computational resources required to train such … Read more
[ad_1] Image by Author | Canva Open-source large Llanguage models (LLMs) are getting better with time, and they offer more cost-effective alternatives compared to proprietary models. You can fine-tune them, use them locally, or even serve them on your own server or cloud with enhanced privacy and security. This means you have full control … Read more
[ad_1] Image by Editor | Midjourney We live in an era in which contemporary artificial intelligence has become an integral part of the daily lives of millions of people, with many of these AI products being powered by large language models (LLMs). As LLM becomes increasingly important to the general public, it has become … Read more
[ad_1] Access to real-time and historical news data is important in today’s digital landscape. Businesses, developers, and analysts rely on news API data feeds to gather structured insights from various sources, ranging from global news outlets and blogs, to forums and social media. APIs help integrate content into applications and workflows, enabling decision-making and scalable … Read more