The company claims its newly upgraded model is number one in user satisfaction and speed - but its methodology is unclear.
The modifications change the model’s responses to Chinese history and geopolitics prompts. DeepSeek-R1 is open source.
Cerebras and Perplexity AI launch ultra-fast Sonar search model running at 1,200 tokens per second, challenging traditional ...
Here are two ways to try R1 without exposing your data to foreign servers. Perplexity even open-sourced an uncensored version ...
SUNNYVALE, Calif., February 11, 2025--(BUSINESS WIRE)--Cerebras Systems, the pioneer in accelerating generative AI, today ...
Sonar is built on top of Meta’s open-source Llama 3.3 70B. It is powered by Cerebras Inference, which claims to be the ...
Perplexity AI has open-sourced R1 1776, a version of the DeepSeek-R1 language model that has been post-trained to eliminate ...
Google Search's secret weapon is speed. AI-driven challenger Perplexity has realized that all too well. With help from ...
Cerebras Systems, the pioneer in accelerating generative AI, today announced its pivotal role in powering Sonar, a groundbreaking model optimized for Perplexity search. Built on the robust ...