DeepSeek-Coder-v2 has been pre-trained with an additional 6 trillion tokens, equipping it with a deep understanding of code structure, syntax, and best practices across various programming languages.

DeepSeek-V2 introduces several key architectural advancements. It employs a novel MoE architecture and MLA attention mechanism. Let’s learn more about these crucial components of the DeepSeek-V2 ...

DeepSeek-V2, released in May 2024, gained traction due to its strong performance and low cost. It also forced other major Chinese tech giants such as ByteDance, Tencent, ...

DeepSeek-V2, a general-purpose text- and image-analyzing system, performed well in various AI benchmarks — and was far cheaper to run than comparable models at the time.

Even the core “breakthroughs” that led to the DeepSeek R1 model are based on existing research, and many were already used in the DeepSeek V2 model. However, the reason why DeepSeek seems so ...

For one thing, DeepSeek (there’s actually two flavors, -V3 and -R1, more on them in a moment) punches well above its weight. DeepSeek is the product of an innovative development process, and ...

For European policymakers, DeepSeek and Trump's AI push should be a wake-up call. ... The Chinese startup claimed that it only cost about $6 million to develop its advanced AI model DeepSeek V2.

DeepSeek offers a superior explanation that is annotated with clear section titles. It introduces the concept of skipping numbers <2 as a standalone logical step, which is helpful for beginners.

What DeepSeek showed, she said, is that there are different paths. The company says it used a little more than 2,000 Nvidia H800 GPUs to train the bot, and it did so in a matter of weeks for $5.6 ...