DeepSeek claims its LLM beat OpenAI's reasoning model o1 on advanced math and coding tests (AIME 2024, MATH-500, SWE-bench Verified) and earned just below o1 on another programming benchmark ...
But the fact that DeepSeek may have created a superior LLM model for less than $6 million dollars also raises serious competition concerns. When LLMs were thought to require hundreds of millions ...
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 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 open-sourced DeepSeek-V3, a Mixture-of-Experts (MoE) LLM containing 671B parameters. It was pre-trained on 14.8T tokens using 2.788M GPU hours and outperforms other open-source models on a ra ...
has integrated the innovative DeepSeek R1 large language model (LLM). This addition further enhances GPTBots.ai’s robust ecosystem of AI capabilities, which already includes some of the most ...
DeepSeek's first open-source LLM - DeepSeek V3, released last December - reportedly took less than $6M to build, using Nvidia's (NVDA) H800 chips for training. The R1, built off the V3 ...
HONG KONG, Jan. 27, 2025 (GLOBE NEWSWIRE) -- GPTBots.ai, a leading enterprise AI agent platform, has announced the integration of the innovative DeepSeek R1 large language model (LLM). This ...
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