Hopsworks

We are proud to announce our biggest and most innovative release yet! 🎉 Hopsworks 4.0 introduces game-changing innovations for building AI systems, whether for batch, real-time or LLM applications, all powered by our AI Lakehouse infrastructure. Release Highlights: 🔹 Kubernetes Deployments - Fully containerized services deployable on any Kubernetes cluster, cloud, or on-premises. 🔹 Hopsworks Query Service - Provides Python clients with up to 45 times higher throughput when reading data. 🔹 Vector Search / Embeddings - Added support for vector & similarity search to easily build GenAI applications. The product will be generally available soon! Stay tuned. https://lnkd.in/d2vR-aZ7 

Just before the weekend: here's the Hopsworks #5minuteinterview that I did with Tales M.. We had a great time chatting about his amazing work on building true #ai and #ml #systems (not just hobby projects). See https://lnkd.in/g6CD2_Vq - hope you enjoy it as much as I did!

Kudos to Hopsworks’ Dhananjay Mukhedkar who, together with Karolinska Institutet and other affiliates, has contributed to important research on cervical cancer! The study explores the complex microbiome landscape in cervical cancer patients, comparing HPV types 16/18 to other HPV types. The research findings provide a deeper understanding of how bacteria, viruses, and fungi at the species level interact with different HPV groups, enhancing our knowledge of microbial diversity in cancer. Not only does this research improve our understanding of cervical cancer, but also opens new pathways for personalized treatment strategies by analyzing microbiome variations in cancer progression. 

Throwback to PyData Berlin and Javier de la Rúa Martínez’s demo on how to build a personalized Bitcoin (BTC) virtual assistant in Python. Javier uses Hopsworks and LLM function calling to do so. https://lnkd.in/deCcsXpZ

⭐️ New video release 📺: Build TikTok's Personalized Real-Time Recommendation System in Python with Hopsworks Watch Jim Dowling, CEO of Hopsworks, build TikTok's personalized real-time recommendation system in Python, including a feature store, vector database, and model serving infrastructure, in this engaging tutorial! 📺 Watch the video on YouTube: https://lnkd.in/eWTgn_UR Jim Dowling, the CEO of Hopsworks and an Associate Professor at Kungliga Tekniska högskolan , guides the audience through building TikTok's personalized real-time recommendation system. The talk highlights the success of TikTok's Monolith recommendations engine, equated to "digital crack" by Andrej Karpathy, former head of AI at Tesla. The session focuses on constructing the core elements of TikTok Monolith, comprising a stream processing feature pipeline, a two-tower embedding model for tailored queries based on user history, and a user interface in Python using Streamlit. The real-time machine learning system comprises three Python programs: the feature pipeline, training pipeline, and online inference pipeline, all supported by Hopsworks platform's ML infrastructure, encompassing a feature store, vector database, model serving, and model registry. Attendees get hands-on experience developing these components and witnessing the system in action through a simple user interface.

In the News 📣 This week we’re sharing our top insights on the AI trends and lessons to watch in 2024 and recommend a couple upcoming talks!

It’s a wrap! We’re thrilled that so many showed up and made yesterday’s event a success by listening, asking intriguing questions, and mingling. Some of the night's key takeaways included: 🔹 Sweden needs to focus more on AI. There are good initiatives, such as WASP and AI Sweden, but Swedes should “go big or go home.” 🔹 EU AI legislation is creating both challenges and opportunities. How will legislations be enforced as we build compliant AI systems? 🔹 LLMs will change the world as we know it, but there is more to AI than just LLMs. A huge thank you to our panel Galina Esther Shubina, Jim Dowling, Sara Landfors, Anders Arpteg, Josef Lindman Hörnlund , Andreas Hellander, and moderator Ather Gattami for a thought-provoking discussion, and a special thanks to AI Sweden for co-organizing ⭐ Stay tuned as we’ll announce future panel events shortly!