Learning, Building, and Innovating with AI
The paper’s pdf can be downloaded from the Url: https://arxiv.org/pdf/2501.12948 Summary of this paper: The paper introduces DeepSeek-R1, a series of reasoning-focused Large Language Models (LLMs) developed using reinforcement learning (RL). It explores how reasoning capabilities in LLMs can be enhanced without relying heavily on …
The term “overhead” is used in a variety of contexts, but semantically, it refers to something that is above or beyond the core or essential work being done. It originates from business and engineering contexts, and in terms of computing and AI, it carries a …
Introduction: In this blog series, we’ve delved deep into the innovations behind DeepSeek-V3 and how it is changing the landscape of AI training. From the groundbreaking Mixture of Experts (MOE) architecture to advancements in data optimization, parallel processing, and cost-efficiency, DeepSeek-V3 is setting a new …
Introduction: In the previous blogs, we’ve covered how DeepSeek-V3 is revolutionizing AI training by reducing costs, improving efficiency, and accelerating the development cycle. But what does the future of training AI models look like, and how does DeepSeek-V3 fit into the bigger picture? In this …
Introduction: In the previous blogs, we’ve explored the innovations behind DeepSeek-V3, including the Mixture of Experts (MOE) architecture, data optimization, parallel processing, and the real-world impact of these advancements. But how does DeepSeek-V3 stack up against other existing AI models? In this blog, we’ll compare …
Introduction: In our previous blogs, we’ve explored the core innovations of DeepSeek-V3, including the Mixture of Experts (MOE) architecture, data optimization, and parallel processing. But while these technical improvements are impressive, you might still be wondering: Why does this matter for me? In this blog, …
Introduction: In our previous blogs, we’ve explored how DeepSeek-V3 uses the Mixture of Experts (MOE) architecture to reduce computational costs and improve efficiency. But there are other crucial innovations that help DeepSeek-V3 achieve its breakthrough in AI training. In this blog, we’ll dive into two …
Introduction: In our previous blog, we explored how DeepSeek-V3 is revolutionizing the way large AI models are trained, reducing costs and improving efficiency. At the heart of this breakthrough is a concept called the Mixture of Experts (MOE) architecture. But what exactly is MOE, and …
Introduction: In our previous blog, we explored the problem of high training costs for large AI models and introduced DeepSeek-V3, a promising solution that aims to reduce these costs. But how exactly does DeepSeek-V3 work, and what makes it different from traditional AI training methods? …
Introduction: You may have heard of terms like Artificial Intelligence (AI) and large language models (LLMs) recently, especially with the rise of tools like ChatGPT. But what exactly does this mean, and why does it matter to you? AI is changing the way we interact …