@perouz.bsky.social
Reposted
🚨 SLAM Labs presents Apriel-5B! And it lands right in the green zone 🚨
Speed ⚡ + Accuracy 📈 + Efficiency 💸
This model punches above its weight, beating bigger LLMs while training on a fraction of the compute.
Built with Fast-LLM, our in-house training stack.
🧵👇
Speed ⚡ + Accuracy 📈 + Efficiency 💸
This model punches above its weight, beating bigger LLMs while training on a fraction of the compute.
Built with Fast-LLM, our in-house training stack.
🧵👇
April 11, 2025 at 8:14 PM
🚨 SLAM Labs presents Apriel-5B! And it lands right in the green zone 🚨
Speed ⚡ + Accuracy 📈 + Efficiency 💸
This model punches above its weight, beating bigger LLMs while training on a fraction of the compute.
Built with Fast-LLM, our in-house training stack.
🧵👇
Speed ⚡ + Accuracy 📈 + Efficiency 💸
This model punches above its weight, beating bigger LLMs while training on a fraction of the compute.
Built with Fast-LLM, our in-house training stack.
🧵👇
Reposted
🚀 Super excited to announce UI-Vision: the largest and most diverse desktop GUI benchmark for evaluating agents in real-world desktop GUIs in offline settings.
📄 Paper: arxiv.org/abs/2503.15661
🌐 Website: uivision.github.io
🧵 Key takeaways 👇
📄 Paper: arxiv.org/abs/2503.15661
🌐 Website: uivision.github.io
🧵 Key takeaways 👇
March 24, 2025 at 5:08 PM
🚀 Super excited to announce UI-Vision: the largest and most diverse desktop GUI benchmark for evaluating agents in real-world desktop GUIs in offline settings.
📄 Paper: arxiv.org/abs/2503.15661
🌐 Website: uivision.github.io
🧵 Key takeaways 👇
📄 Paper: arxiv.org/abs/2503.15661
🌐 Website: uivision.github.io
🧵 Key takeaways 👇