Perplexity CEO relays news of Particle, a new company: focused on token efficiency optimization for open-weight models
Aravind Srinivas relays that Particle is a new company focused on optimizing open-weight models and improving token efficiency and serving cost efficiency, and states that before Particle's launch he had already worked with Suhail's team, and that they will continue to collaborate on tools such as search and model orchestration. In the quoted tweet, Suhail announces the founding of Particle, saying that particle-1 uses about 45% fewer tokens while maintaining parity in performance, and that it is now live.
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The Perplexity founder relays Particle's positioning and particle-1's token efficiency data, offering a look at a new player on the serving side of open-weight models.
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View original post1/ Excited to announce our new company Particle This is our first step in a series of models focused on developers. With particle-1, we focused on token efficiency and managed to keep parity in performance while using ~45% fewer tokens. Live now: https://t.co/m5MvOwR9yE https://t.co/qAM7lFUPvG
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1/ Excited to announce our new company Particle This is our first step in a series of models focused on developers. With particle-1, we focused on token efficiency and managed to keep parity in performance while using ~45% fewer tokens. Live now: https://t.co/m5MvOwR9yE https://t.co/qAM7lFUPvG
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Particle is a new company focused on optimizing open-weight models to be more token-efficient and cost-efficient to serve. It's been great working together with Suhail and his team ahead of their launch! We look forward to working with them on tools like search and model orchestration.