The #AI Service Company: we implement and manage the lifecycle of #ArtificialIntelligence solutions through Invariant.ai® our deployment and governance platform
We’re excited to introduce 🌩️ Thunder Sessions 🌩️, a new podcast from the team at Lightning AI covering the world of compilers and performance optimization.
Join us this Friday, July 5 @ 11am EST with hosts @lantiga and @ThomasViehmann, two of the leading experts behind PyTorch Lightning and Thunder, the source to source compiler that can speed up models by 40%.
Stay tuned for the YouTube livestream link!
Mixtral MOE is now available on Lightning Studio!
Run your own Mixtral in < 2 minutes - zero setup 🤯🤯
⚡️ 4 tok/s on a single T4 (same as Colab)
⚡️ 12.5 tok/s on a single A10G (better than Colab)
⚡️ fully open, local execution, zero data transfer
lightning.ai/lightning-ai/st…
Make your Christmas break unforgettable!🎄Dive into the world of #ReinforcementLearning with our latest blog post: 👉 urly.it/3z4qf
🧠 quick intro to RL
🔧 hands-on A2C implementation with #SheepRL 🐑
⚙️ discover how quick and easy it's to integrate external algorithms
ALT An introduction to RL with SheepRL: the A2C algorithm - Orobix - Reinforcement Learning - https://github.com/Eclectic-Sheep/sheeprl
🚀 Breaking News in the #ReinforcementLearning universe! #SheepRL 🐑 is now seamlessly integrated into the DIAMBRA Arena! 🎮urly.it/3yrsj
Embark on #AI adventures with just a few lines of #Python 🐍 code and initiate RL trainings across all DIAMBRA #videogames!
ALT Orobix - Reinforcement Learning - SheepRL - https://docs.diambra.ai/handsonreinforcementlearning/sheeprl/
→ best #PyTorch implementations of SoTA models: Dreamer-V3 and Plan2Explore
→ greater performances: Dreamer-V3 1-GPU Atari-100K: SheepRL ~15h vs rllib >20h
→ supports both image and vector inputs
→ handles different types of actions: discrete, multi-discrete, or continuous
Don't forget to check out our GitHub repository 👉github.com/Eclectic-Sheep/sh…
Feel free to use SheepRL for your #AI projects, and if you want to contribute, we are more than happy to accept your pull requests! ❤️
📣 We're thrilled to share our #GenerativeAI offering!🌐 genai.orobix.com
→ We build impactful and safe #GenAI applications at enterprise scale
→ We help organizations do more and better with GenAI, saving time, reducing costs and improving accuracy.
📩 info@orobix.com
QUADRA is our #opensource library to train, deploy, compare and share DL experiments in a very simple and quick way! Feel free to use QUADRA for your #AI projects, and if you want to contribute, we are more than happy to accept your pull requests! ❤️
github.com/orobix/quadra
QUADRA is our #opensource library to train, deploy, compare and share DL experiments in a very simple and quick way! Feel free to use QUADRA for your #AI projects, and if you want to contribute, we are more than happy to accept your pull requests! ❤️ github.com/orobix/quadra