New Delhi, Oct. 28 -- Most AI developers prefer to use open-weight models to build their solutions because they can be fine-tuned to suit specific requirements. Take, for example, DeepSeek, the open-weight Chinese AI model. Perplexity was able to fine-tune it to remove all China-specific bias, as a result of which its users were able to get honest answers to questions about the 1989 protests at Tiananmen Square. This is not possible when the same questions are asked of the DeepSeek API (or application programming interface).

Perhaps more importantly, open-weight models-these are not 'open-source' as traditionally understood but allow some amount of adjustment-can be downloaded and deployed in their own compute environment, ensuring that ...