AI Applications

As artificial intelligence continues to evolve rapidly, the need for better coordination, interoperability, and contextual understanding among models has never been more urgent. Enter the Model Context Protocol (MCP), an emerging specification that has quickly gained traction in AI communities and tech giants alike. By early 2025, MCP has become

The open-source AI landscape has seen a significant advancement with the release of Llama 4 by Meta on April 5. This latest iteration of Meta's powerful large language models (LLMs) brings substantial improvements in reasoning, instruction-following, and overall performance, marking the most notable upgrade in the Llama LLM

In an era of rapid information development and increasingly intense competition, a company's success may hinge on how quickly it responds to external changes—or even on how efficiently users perceive its solutions. Ultimately, the ability to extract the most relevant and optimal information from vast amounts of

March 2025 marked a turning point for AI image generation, unveiling tools that are transforming how we create and use visual content. These advancements go far beyond technical upgrades, they’re opening doors for businesses and individuals to innovate like never before. Leading the charge is OpenAI’s GPT-4o, but

Agentic AI represents the next evolution in autonomous systems, going beyond reactive language models to perform complex, multi-step tasks with minimal human oversight. In practice, building such systems requires a deep integration of advanced model training strategies and robust data engineering. Today, we’ll explore the core technical components necessary

In the era of rapid AI advancement, AI agents have become a focal point of innovation. Unlike traditional AI models that rely on continuous human input, AI agents operate autonomously, leveraging real-time data and advanced foundation models to make decisions and execute tasks. These intelligent systems are transforming industries—enhancing

In the realm of machine learning (ML), crafting a powerful model is just the first step. To truly unlock its potential, you need to fine-tune its configuration – a process known as hyperparameter tuning. Imagine a car engine. You can build a powerful engine, but without fine-tuning the carburetor, spark plugs,

The growing popularity of artificial intelligence (AI) has led more people to become aware of it, with the large language model being one of the most familiar aspects. In LLMs (such as DeepSeek or ChatGPT), at the core, there is something called a "token." However, you may not

Artificial intelligence is everywhere, from powering customer service chatbots to driving complex data analysis. But when it comes to picking an AI model, one of the hottest debates is whether to go closed source or open source. Today, we will dive into what sets these two approaches apart, sharing real-world

As AI models continue to scale in complexity and capability, one of the biggest challenges researchers and enterprises face is balancing performance with efficiency. The Mixture of Experts (MoE) architecture has emerged as a game-changing solution, enabling large AI models to achieve higher performance while reducing computational costs. In this

Imagine you're the CTO of a startup migrating to the cloud. Faced with challenges in team collaboration and cost management, you need to answer two key questions: How can team members safely share resources? How do you avoid confusion in financials and permissions? In this case, the three

In the rapidly evolving landscape of Large Language Models (LLMs), two techniques have emerged as game-changers: Reinforcement Learning (RL) and Chain-of-Thought (CoT) reasoning. Models like DeepSeek R1 and OpenAI's o1 leverage these methods to achieve advanced reasoning capabilities, outperforming traditional LLMs in complex tasks. This article delves into

The Bitdeer AI Cloud platform now supports multiple versions of the DeepSeek models including R1 and JanusPro. You can deploy an instance with a single click via the instance console, customize the management mode, and flexibly choose the model image for rapid deployment. This guide uses the DeepSeek-R1 671B image

Artificial intelligence is evolving at an unprecedented pace, and the recent launches of DeepSeek V3, R1 have taken the AI landscape by storm. DeepSeek V3 rivals GPT-4o and LLaMa 3-405B while using ~10x less compute, trained on just 2,000 Nvidia H800 GPUs for $5.58 million. Meanwhile, DeepSeek R1,

Businesses in all sectors are jumping on the bandwagon for this game-changing technology as artificial intelligence (AI) leaps from science fiction to reality. Artificial intelligence (AI) might significantly impact business processes, spur innovation, and help organizations acquire a competitive advantage. Learn how to use AI in businesses and how it

We can't imagine modern life without artificial intelligence (AI), which has changed the game in many sectors and altered our strategy for tackling problems. This incredible technology relies on training AI models for machines to learn, adapt, and make smart decisions. Discover the various training methods accessible, learn

Language models are AI technology's main application, advancing swiftly. AI technology can answer various questions, mimic human expressions, and provide fresh information. LLMs will soon be used in various contexts as they are necessary for improving efficiency. Information about LLMs, including possible uses and methods for achieving objectives,