DeepSeek has introduced DSpark, an open-source speculative decoding method that accelerates LLM inference by up to 85% ...

DeepSeek today released an improved version of its DeepSeek-V3 large language model under a new open-source license. Software developer and blogger Simon Willison was first to report the update.

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

Chinese artificial intelligence developer DeepSeek today released a new series of open-source large language models. V4, as the algorithm family is called, comprises two LLMs on launch. There’s the ...

DeepSeek continues to push the frontier of generative AI...in this case, in terms of affordability. The company has unveiled its latest experimental large language model (LLM), DeepSeek-V3.2-Exp, that ...

The release of Deepseek v3.1 signifies a major advancement in the realm of large language models (LLMs). This open source AI model, licensed under MIT, introduces a powerful 700GB mixture of experts ...

The artificial intelligence (AI) community is abuzz with excitement over DeepSeek-R1, a new open-source model developed by ...

A glimpse at how DeepSeek achieved its V3 and R1 breakthroughs, and how organizations can take advantage of model innovations when they emerge so quickly. The release of DeepSeek roiled the world of ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...

The success of DeepSeek’s powerful artificial intelligence (AI) model R1 — that made the US stock market plummet when it was released in January — did not hinge on being trained on the output of its ...