Prem (@premai_io) 's Twitter Profile
Prem

@premai_io

Effortlessly Integrate Generative AI into Your Applications with Full Ownership and Confidence

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linkhttp://premai.io calendar_today02-05-2023 13:34:47

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THE YEAR OF OPEN-SOURCE LLMs A Recap (Oct 2025) What a year it's been! 2025 has had us on the edge of our seats and we've seen seen surprising yet unexpected advances in Open Source AI models. The open-weight world didn’t just evolve, it went global, specialised, and

THE YEAR OF OPEN-SOURCE LLMs 
 A Recap (Oct 2025)

What a year it's been! 2025 has had us on the edge of our seats and we've seen seen surprising yet unexpected advances in Open Source AI models. 

The open-weight world didn’t just evolve, it went global, specialised, and
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Who are the top teams working on the intersection of - Private Data x Artificial Intelligence? Tag them here! We've got something really really cool to show you 🤫

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CUSTOM LLMs FOR EVERYONE! That's what we truly believe here at Prem. Glad to see clem 🤗 also resonate. The challenge is though, customising LLMs is not very straight-forward. There's almost an art to it & a lot of finessing that goes into customising SLMs/LLMs.

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We’re thrilled to announce the opening of Prem AI's European HQ in Lugano, Switzerland! 🥳🎉 A huge thank you to the city of Lugano for the warm welcome and support as we set up here. The energy and forward-thinking spirit of this community made the choice easy. Establishing

We’re thrilled to announce the opening of Prem AI's European HQ in Lugano, Switzerland! 🥳🎉 

A huge thank you to the city of Lugano for the warm welcome and support as we set up here. The energy and forward-thinking spirit of this community made the choice easy.

Establishing
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We've been helping clients at Prem build and deploy small language models they actually own and run on their own infrastructure. Here's what we've learnt: Data distillation is key. While frontier models are powerful, at scale, they're just too slow and expensive for

We've been helping clients at Prem build and deploy small language models they actually own and run on their own infrastructure. Here's what we've learnt:

Data distillation is key.

While frontier models are powerful,  at scale, they're just too slow and expensive for