Chinese startup DeepSeek claims to have developed its high-performing AI tool using a fraction of the computing power that U.S. tech companies have needed to train an AI large language model (LLM).

but for those who are not investors in LLM companies or NVidia can partake in this new OSS model that has been released under the MIT license, along with the DeepSeek-R1 reasoning model.

Despite market concerns, I view DeepSeek's impact as overstated, and I doubt their $6 million development cost. I think LLM “commoditization” will benefit Palantir by providing cheaper ...

Dan Ives, managing director and global head of technology research at Wedbush Securities, wrote Monday in a note to investors that while DeepSeek's LLM has clearly impressed the tech sector ...

“If DeepSeek can create an LLM in two years, why can't India do it? DeepSeek, in a matter of days, has completely upended how everyone sees artificial intelligence in terms of investment and as ...

DeepSeek just dropped a new open-source multmodal AI model, Janus-Pro-7B. It is MIT opensource license. It’s multimodal (can generate images) and beats OpenAI’s DALL-E 3 and Stable Diffusion across ...

DeepSeek’s $6-million number doesn’t necessarily reflect how much money would have been needed to build such an LLM from scratch, Nesarikar says. The reported cost of DeepSeek-R1 may represent ...

DeepSeek unveiled its first set of models — DeepSeek Coder, DeepSeek LLM, and DeepSeek Chat — in November 2023. But it wasn't until last spring, when the startup released its next-gen DeepSeek ...